{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1116,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":1116,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"8db84cd6f8de","filters":{"topic":"Advanced Wireless Communication Technologies"}},"results":[{"id":"W2963336322","doi":"10.1109/jsac.2017.2725519","title":"A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2398,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Noma; Computer science; Context (archaeology); Wireless; Computer network; Low latency (capital markets); Throughput; Telecommunications; Wireless network; Key (lock); Computer security; Telecommunications link","retraction":null,"screen_n_in":null,"score":{"opus":0.1967780088224745,"gpt":0.4161986754228624,"spread":0.2194206666003879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001234,0.000211021,0.0002944513,0.0006631028,0.001432434,0.000297933,0.003674349,0.0002337264,0.000003866024],"category_scores_gemma":[0.0009080379,0.0002051347,0.00005066892,0.0003979755,0.0002887677,0.000418403,0.0002356756,0.002154245,0.000002406427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843424,"about_ca_system_score_gemma":0.00004748041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808344,"about_ca_topic_score_gemma":0.003288879,"domain_scores_codex":[0.9983714,0.0003592939,0.0003983403,0.0002045506,0.0002416091,0.0004248692],"domain_scores_gemma":[0.9936066,0.002629884,0.0001935721,0.002943598,0.0005230895,0.0001032127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000258386,0.0005246127,0.01033444,0.00003981541,0.0001801968,0.000005061541,0.0007695462,0.07869876,0.0002764271,0.003784127,0.00464319,0.9004855],"study_design_scores_gemma":[0.001381797,0.0002154335,0.8375871,0.0003217945,0.000006676772,0.00001774914,0.0002124486,0.1440284,0.0004525367,0.002021936,0.01337795,0.0003761133],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7802839,0.09199953,0.01989593,0.06516238,0.003204195,0.003617925,0.0005347127,0.002540407,0.03276107],"genre_scores_gemma":[0.8946198,0.1033433,0.001553041,0.0000203429,0.000163094,0.0001838118,0.00004192577,0.00004944378,0.00002518941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9001094,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3110989801","doi":"10.1007/s11432-020-2955-6","title":"Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts","year":2020,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1931,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Mobile Communications Research Laboratory, Southeast University; National Postdoctoral Program for Innovative Talents; Engineering and Physical Sciences Research Council; Southeast University; National Natural Science Foundation of China","keywords":"Computer science; Network architecture; Wireless network; Wireless; Computer network; Telecommunications; Air interface","retraction":null,"screen_n_in":null,"score":{"opus":0.02387758185150263,"gpt":0.267923037298583,"spread":0.2440454554470804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007452801,0.0001708469,0.0001714687,0.0003587644,0.000873461,0.0006143358,0.002280748,0.00009399249,0.000006040787],"category_scores_gemma":[0.000479596,0.0001483559,0.00002188514,0.003404004,0.002055808,0.007203244,0.0006422676,0.0003162723,0.00001944182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007448193,"about_ca_system_score_gemma":0.0001462169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002848777,"about_ca_topic_score_gemma":0.000006544613,"domain_scores_codex":[0.9984829,0.00001544403,0.0004184658,0.0002138004,0.0005001217,0.0003693087],"domain_scores_gemma":[0.9990417,0.00006241465,0.0001554503,0.0005511304,0.00006673373,0.0001225819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002673772,0.000004062019,0.000329319,0.00002338449,0.000002823778,1.259191e-7,0.002648164,0.1423356,0.0005295189,0.04393202,0.0003592854,0.809833],"study_design_scores_gemma":[0.0001985429,0.00007599335,0.002967201,0.00006406935,0.000002519383,0.000004682473,0.006660706,0.9644891,0.005975491,0.01155231,0.007680497,0.000328872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1629386,0.005000413,0.7963958,0.02122241,0.0002770537,0.0006248191,0.000006558348,0.006300333,0.007233923],"genre_scores_gemma":[0.979617,0.003887184,0.01625976,0.0001985441,0.000009813357,0.00001597293,0.00000459184,0.000005620423,0.000001526892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8221535,"threshold_uncertainty_score":0.7574711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322576964","doi":"10.1109/comst.2023.3249835","title":"On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds","year":2023,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1919,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Huawei Technologies (Canada)","funders":"National Key Research and Development Program of China; Engineering and Physical Sciences Research Council; National Science Foundation; European Research Council; Horizon 2020 Framework Programme; National Natural Science Foundation of China","keywords":"Key (lock); Software deployment; Computer science; Telecommunications; White paper; Architecture; Vision; Computer security; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07721055509670546,"gpt":0.3226706705307362,"spread":0.2454601154340308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002804758,0.0002627449,0.0003060245,0.0003231978,0.0006142586,0.0001048319,0.003279237,0.0002029023,0.00001163047],"category_scores_gemma":[0.003002364,0.0002197017,0.00004822466,0.001836626,0.0003958474,0.0001850288,0.001207609,0.0005161806,0.0004159295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489024,"about_ca_system_score_gemma":0.00002867504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005240398,"about_ca_topic_score_gemma":0.0001115518,"domain_scores_codex":[0.9980167,0.0005574296,0.0005243642,0.0002622979,0.0002637918,0.0003754713],"domain_scores_gemma":[0.9907154,0.0029622,0.0000964756,0.006033238,0.0001389589,0.00005370905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001374108,0.0001923828,0.001083561,0.00004986232,0.0002478849,0.000003332289,0.001141231,0.01772192,0.06338789,0.1741292,0.116655,0.6253739],"study_design_scores_gemma":[0.001265096,0.0003521055,0.02359262,0.0006662668,0.0000647208,0.00001021581,0.006696336,0.01970639,0.07171248,0.09224907,0.7812822,0.002402456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7135418,0.01649344,0.07208382,0.08790682,0.007889346,0.008131085,0.0007520093,0.07470476,0.01849695],"genre_scores_gemma":[0.9840348,0.009789655,0.00505151,0.0000753596,0.00003482927,0.0007252234,0.00005103604,0.00006521962,0.0001723993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6646272,"threshold_uncertainty_score":0.8959175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3188554269","doi":"10.1109/jiot.2021.3103320","title":"6G Internet of Things: A Comprehensive Survey","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1306,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Internet of Things; Wireless; Telecommunications; Low latency (capital markets); Computer security; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.03155605900172525,"gpt":0.2674330335566454,"spread":0.2358769745549202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003051507,0.0001923562,0.0004520887,0.0002011979,0.00002112414,0.00004792475,0.0009845817,0.0001432354,0.0001155246],"category_scores_gemma":[0.0003262695,0.0001921283,0.0001538141,0.00022802,0.0001573238,0.0004589463,0.0002397884,0.000901624,0.00001262262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009645306,"about_ca_system_score_gemma":0.00003437135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001067572,"about_ca_topic_score_gemma":0.00001293279,"domain_scores_codex":[0.9985108,0.0001123579,0.0007413919,0.0001392985,0.0002762547,0.0002199218],"domain_scores_gemma":[0.9982185,0.0003259639,0.0003898889,0.0004736654,0.0005329382,0.00005900138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004008593,0.0006616475,0.01850605,0.001331487,0.003311325,0.0003937661,0.03540641,0.06744862,0.6637813,0.004673948,0.05565279,0.1484317],"study_design_scores_gemma":[0.000623966,0.0001140502,0.002681142,0.000921834,0.00002198819,0.0004839798,0.001018625,0.0387551,0.9493582,0.002517425,0.003180426,0.0003232784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.79369,0.003416014,0.19978,0.0001053384,0.001015699,0.00006920052,0.000007230389,0.0002541607,0.001662366],"genre_scores_gemma":[0.981784,0.0008650721,0.01691226,0.00008818286,0.00002124592,0.000002355694,0.0000061759,0.00003890123,0.000281833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2855768,"threshold_uncertainty_score":0.7834763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163504740","doi":"10.1109/twc.2009.080910","title":"Space shift keying modulation for MIMO channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1012,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; Concordia University; Ericsson (Canada)","funders":"","keywords":"Fading; Computer science; MIMO; Bit error rate; Transmission (telecommunications); Modulation (music); Phase-shift keying; Algorithm; Channel (broadcasting); Decoding methods; Quadrature amplitude modulation; Space–time code; Keying; Electronic engineering; Telecommunications; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03219428633783643,"gpt":0.2768530292425724,"spread":0.2446587429047359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001382603,0.0002839434,0.0002783543,0.0003576301,0.0006999658,0.00007064598,0.001358724,0.0002087892,0.00001307964],"category_scores_gemma":[0.00001193175,0.0003365153,0.0001588644,0.0005779963,0.0001463266,0.0004072351,0.000006483387,0.0005441474,0.00003807084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889323,"about_ca_system_score_gemma":0.0000219177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008661804,"about_ca_topic_score_gemma":0.0000508166,"domain_scores_codex":[0.998758,0.00005605655,0.000426319,0.0002437661,0.0001622399,0.0003536096],"domain_scores_gemma":[0.9964766,0.0004203267,0.00008771176,0.002826756,0.0001089452,0.00007967991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001650571,0.0002144766,0.000002320771,0.0000242827,0.0000506718,1.828458e-7,0.0006092502,0.7649735,0.01157297,0.01258751,0.0001620894,0.2097863],"study_design_scores_gemma":[0.0007757121,0.0001363179,0.0002294941,0.0001343702,0.00003775716,0.000004285624,0.0002901414,0.8940315,0.08728641,0.01096274,0.005460953,0.0006502717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01092794,0.0003832555,0.9804456,0.004027211,0.0002790934,0.0007054789,0.00005882245,0.002460494,0.0007121162],"genre_scores_gemma":[0.9612208,0.001771179,0.03613798,0.0001044707,0.0000221452,0.0005405172,0.00003945779,0.0000627075,0.0001007429],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9502929,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125669974","doi":"10.1109/lcomm.2008.080739","title":"Spatial modulation: optimal detection and performance analysis","year":2008,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":913,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Concordia University","funders":"","keywords":"Detector; Spatial modulation; Computer science; Modulation (music); Algorithm; Bit error rate; Wireless; Antenna (radio); Probability of error; Electronic engineering; Telecommunications; MIMO; Channel (broadcasting); Decoding methods; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02177888912411954,"gpt":0.2281418422577608,"spread":0.2063629531336413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005950943,0.0001188037,0.0001473456,0.0003012514,0.0003902617,0.00001659012,0.0005992716,0.00006165448,0.000005570847],"category_scores_gemma":[0.00001252068,0.000138907,0.00004761623,0.0006503298,0.0002956818,0.0002698349,0.0001203912,0.0002562285,0.00001337264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007054087,"about_ca_system_score_gemma":0.000004026803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002422986,"about_ca_topic_score_gemma":0.00005852493,"domain_scores_codex":[0.9993998,0.00003544881,0.0002145474,0.0001202331,0.00009384668,0.0001360694],"domain_scores_gemma":[0.9980437,0.00008195081,0.00004882691,0.001758783,0.00003662433,0.00003014115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005656647,0.00002205832,0.01112235,0.00001298495,0.000228315,7.126706e-7,0.0004333861,0.8662495,0.04181823,0.00005710288,0.00009078874,0.07995892],"study_design_scores_gemma":[0.0001296767,0.00001123877,0.0845683,0.000005100658,0.00003878267,0.00001296706,0.00003326147,0.9040852,0.009784139,0.00001020784,0.00113949,0.0001816697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6089829,0.0002637152,0.38952,0.0004507218,0.00003497351,0.00007044467,0.000002416908,0.000535136,0.0001397472],"genre_scores_gemma":[0.968481,0.003136664,0.02818262,0.00006573516,0.00001412475,0.00007455703,0.00001820679,0.00001830647,0.000008751798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3613374,"threshold_uncertainty_score":0.5664462,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135725526","doi":"10.1109/jiot.2021.3063686","title":"Enabling Massive IoT Toward 6G: A Comprehensive Survey","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":671,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Carleton University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Low latency (capital markets); Wireless; Open research; Architecture; Internet of Things; Telecommunications; Computer network; Computer security; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.04716102706894406,"gpt":0.276063198706627,"spread":0.228902171637683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957094,0.0001581505,0.0003089044,0.0001580164,0.00003780188,0.0000708342,0.0006364551,0.0001144899,0.00007850521],"category_scores_gemma":[0.0003110461,0.0001605217,0.0001091631,0.0002131568,0.0000842516,0.0002324027,0.000150929,0.0008313537,0.00001563437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183888,"about_ca_system_score_gemma":0.00003598864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002708125,"about_ca_topic_score_gemma":0.000007161862,"domain_scores_codex":[0.9988903,0.00008884074,0.000462197,0.0001221704,0.0002129248,0.0002235498],"domain_scores_gemma":[0.9986162,0.0002848393,0.0002045499,0.0003402726,0.0004941457,0.00006005395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001262986,0.0001797755,0.004558737,0.0004125519,0.001291526,0.0005329679,0.01033868,0.3498343,0.5155909,0.001285441,0.01747578,0.09837306],"study_design_scores_gemma":[0.0005776192,0.00006076712,0.001683978,0.0004848387,0.00001613752,0.000481279,0.001854575,0.03335966,0.9528037,0.002968123,0.005355666,0.0003536747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6975769,0.004373145,0.295655,0.0002965319,0.001112789,0.00005927971,0.000007454189,0.0003375298,0.0005813474],"genre_scores_gemma":[0.9781405,0.001125649,0.02044945,0.00007731481,0.00004000969,0.000002681661,0.000003825163,0.00003428133,0.0001262803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4372128,"threshold_uncertainty_score":0.6545883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3089248281","doi":"10.1109/jsac.2020.3019724","title":"Massive Access for 5G and Beyond","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":657,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Australian Research Council; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Wireless; Cellular network; Wireless network; Telecommunications; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.0547641495153385,"gpt":0.3177449162704811,"spread":0.2629807667551426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009372032,0.0001399031,0.0001953564,0.0001882196,0.0002343163,0.000100185,0.001553978,0.00009549601,0.000006660567],"category_scores_gemma":[0.0004024546,0.0001449332,0.00003392396,0.0006658423,0.0001034753,0.0003161845,0.00009629017,0.0008546303,0.000004520486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042829,"about_ca_system_score_gemma":0.00003653346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001097323,"about_ca_topic_score_gemma":0.00002281501,"domain_scores_codex":[0.9991959,0.00006734008,0.0003390704,0.0001077804,0.00009547514,0.0001944787],"domain_scores_gemma":[0.9982601,0.0006138152,0.0001038437,0.0007484854,0.0001802165,0.00009350938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002448995,0.0005394508,0.006695616,0.0002339615,0.0004917946,0.00001563146,0.004455684,0.6135024,0.04400201,0.04055615,0.02950292,0.2597594],"study_design_scores_gemma":[0.005149774,0.000693017,0.0137943,0.0005299441,0.00007632896,0.0001438491,0.001865946,0.7384809,0.07631044,0.04771005,0.1134832,0.001762288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3276868,0.02320746,0.4381332,0.1731256,0.0009324104,0.003753625,0.0002565806,0.005420382,0.02748401],"genre_scores_gemma":[0.9770128,0.007787564,0.01460938,0.0003977189,0.00003467028,0.0001031361,0.00001360252,0.00003523707,0.000005863696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.649326,"threshold_uncertainty_score":0.5910203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210439023","doi":"10.1109/jsac.2022.3145234","title":"Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":551,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Noma; Computer science; Telecommunications link; Wireless; Computer network; Wireless network; Physical layer; Flexibility (engineering); Distributed computing; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.1204853797191688,"gpt":0.3249627518277547,"spread":0.2044773721085859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000311525,0.0001453958,0.0002236108,0.0005585757,0.000515716,0.00005382181,0.002150928,0.00007712791,0.00001999308],"category_scores_gemma":[0.000354544,0.0001700557,0.00007393478,0.001146965,0.00007754764,0.0005198308,0.0002597997,0.0009189651,0.000001726562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009057597,"about_ca_system_score_gemma":0.0001103704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001677094,"about_ca_topic_score_gemma":0.0001403178,"domain_scores_codex":[0.9986499,0.0002068957,0.0005883017,0.0001204445,0.0002163146,0.0002181496],"domain_scores_gemma":[0.9975758,0.0005558021,0.0002561437,0.001256779,0.0003147328,0.00004080912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004510693,0.0003167219,0.002444892,0.00002165895,0.00005416219,5.995416e-7,0.0003630235,0.9017721,0.07637233,0.004142745,0.001976697,0.01248998],"study_design_scores_gemma":[0.001331611,0.0002185686,0.005392011,0.00006559597,0.0000195426,0.00004973453,0.00079272,0.9518868,0.02478367,0.004539973,0.01056358,0.0003561807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6113448,0.005109025,0.3772258,0.002612999,0.0008669024,0.001190331,0.000162466,0.0007803749,0.0007073337],"genre_scores_gemma":[0.9811663,0.001590273,0.01657648,0.00002869374,0.0000437327,0.0004688533,0.00007591998,0.00003910371,0.00001067001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3698215,"threshold_uncertainty_score":0.6934671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034084319","doi":"10.1109/tvt.2014.2344036","title":"Quadrature Spatial Modulation","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":542,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Pairwise error probability; Quadrature (astronomy); Rayleigh fading; Quadrature amplitude modulation; Monte Carlo method; Mathematics; MIMO; Algorithm; Synchronizing; Spatial modulation; Control theory (sociology); Computer science; Electronic engineering; Topology (electrical circuits); Bit error rate; Fading; Engineering; Statistics; Beamforming","retraction":null,"screen_n_in":null,"score":{"opus":0.005947411688996376,"gpt":0.2065416218503575,"spread":0.2005942101613612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005826671,0.0001858744,0.0001865418,0.0004940721,0.0001351373,0.00001317871,0.0003783526,0.0004968487,0.0000279492],"category_scores_gemma":[0.000009888792,0.0001981665,0.00006443392,0.0005482179,0.000134677,0.0001007234,0.000002383702,0.0006829253,0.0001121909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007907439,"about_ca_system_score_gemma":0.000005476137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004543297,"about_ca_topic_score_gemma":0.00003794254,"domain_scores_codex":[0.9992129,0.00002311261,0.0002056806,0.0002075222,0.0001198776,0.0002308875],"domain_scores_gemma":[0.9989745,0.00004179828,0.0000340109,0.0008733306,0.00004826278,0.00002807226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003402216,0.00002816843,0.000007361,0.000009978314,0.00002292576,9.791244e-7,0.00001293653,0.5934655,0.02919355,0.001978126,0.00002978107,0.3752473],"study_design_scores_gemma":[0.0003115343,0.00008254717,0.00006416078,0.00002444236,0.0000109138,0.00001439268,0.00004638116,0.5717083,0.4132517,0.006215629,0.008000067,0.0002699414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05715986,0.0001030753,0.9365944,0.0006443732,0.0002853802,0.0001496277,0.000005338978,0.004723286,0.0003346338],"genre_scores_gemma":[0.9916528,0.0001420639,0.007950548,0.00003565104,0.00001557926,0.000115584,0.00000435943,0.00004502795,0.00003842463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9344929,"threshold_uncertainty_score":0.8080994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2496222037","doi":"10.1109/tcomm.2016.2594759","title":"Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":492,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Southeast University; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Mathematical optimization; Efficient energy use; Resource allocation; Single antenna interference cancellation; Convex optimization; Spectral efficiency; Optimization problem; Maximization; Base station; Noma; Multiplexing; Channel (broadcasting); Algorithm; Mathematics; Regular polygon; Computer network; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03135922093522871,"gpt":0.2715286323733495,"spread":0.2401694114381208,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001829297,0.0002413075,0.0002131045,0.000214514,0.0006898214,0.00005065662,0.002059828,0.0001802192,0.00002342538],"category_scores_gemma":[0.00002122323,0.0002174859,0.0001459975,0.0004652194,0.0002472593,0.0002396933,0.00002753646,0.0002898855,0.00002882201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106213,"about_ca_system_score_gemma":0.00003581125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007997582,"about_ca_topic_score_gemma":0.0001598956,"domain_scores_codex":[0.9987088,0.00007171725,0.000448596,0.0002509651,0.0001609084,0.0003590016],"domain_scores_gemma":[0.9951084,0.00146356,0.00009938174,0.003114507,0.0001331968,0.00008096893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002263497,0.0001552259,0.000009336218,0.00001372791,0.00006322219,7.531207e-8,0.00004867054,0.8147457,0.003359587,0.003237536,0.001619448,0.1767248],"study_design_scores_gemma":[0.001213705,0.00006883011,0.0001501514,0.0002034125,0.00004777425,0.000004266707,0.0001016857,0.73489,0.05996241,0.002281045,0.2004794,0.0005973451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009977875,0.0003571519,0.9925131,0.00273729,0.0001743862,0.00045093,0.0001465211,0.001343108,0.001279789],"genre_scores_gemma":[0.9721965,0.001653197,0.02400716,0.0001124795,0.00003613314,0.00163518,0.00005798676,0.00007158572,0.0002297715],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9711987,"threshold_uncertainty_score":0.8868819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3165173280","doi":"10.1109/lcomm.2021.3082214","title":"STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":490,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Star (game theory); Computer science; Reflection (computer programming); Transmission (telecommunications); Channel (broadcasting); Field (mathematics); Telecommunications; Electronic engineering; Physics; Engineering; Mathematics; Astrophysics","retraction":null,"screen_n_in":null,"score":{"opus":0.04116816728878759,"gpt":0.2890209109472617,"spread":0.2478527436584742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001685337,0.0001715319,0.0002032175,0.00009880841,0.0003429158,0.0000806083,0.0008373676,0.00008253516,0.00001627669],"category_scores_gemma":[0.0002077,0.000204892,0.00004361158,0.00038742,0.0001947454,0.0001923915,0.0001101511,0.0005440189,0.00001670643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101142,"about_ca_system_score_gemma":0.00001533366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002008825,"about_ca_topic_score_gemma":0.000126214,"domain_scores_codex":[0.9989796,0.0001090935,0.0003686099,0.0001955863,0.00009428658,0.0002528138],"domain_scores_gemma":[0.9966199,0.001114351,0.00006503865,0.002070937,0.00008289539,0.0000468927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000332935,0.00004308161,0.0002177113,0.00008890223,0.0001089684,0.00001149677,0.001853999,0.2706626,0.5770558,0.0005471345,0.0004649057,0.1489422],"study_design_scores_gemma":[0.0003660807,0.0000225107,0.0001169727,0.0002915888,0.000037868,0.00008031922,0.005315234,0.3246538,0.5946956,0.00101049,0.07258938,0.0008201692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8370296,0.02436673,0.1158278,0.01472752,0.0002832265,0.0003593355,0.00002168844,0.002937953,0.004446174],"genre_scores_gemma":[0.909716,0.01102532,0.07881618,0.0002865585,0.0000097071,0.00004004572,0.00001948286,0.00004151754,0.0000452577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148122,"threshold_uncertainty_score":0.8355253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3021564798","doi":"10.1109/ojcoms.2020.2992791","title":"Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design","year":2020,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":453,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Beamforming; Precoding; Channel state information; Channel (broadcasting); Computer science; Base station; Mean squared error; Fading; Transmitter power output; Interference (communication); Wireless; Algorithm; Telecommunications; MIMO; Statistics; Mathematics; Transmitter","retraction":null,"screen_n_in":null,"score":{"opus":0.2001728824987623,"gpt":0.3609413528232859,"spread":0.1607684703245237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008460835,0.0001763617,0.0002897806,0.00002837407,0.0008044575,0.0001857743,0.005271294,0.000114663,0.000004232257],"category_scores_gemma":[0.0002757561,0.0001493646,0.0001409663,0.0004999412,0.0002947942,0.000718071,0.001557734,0.000951926,0.000003771996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001861643,"about_ca_system_score_gemma":0.00006007113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021065,"about_ca_topic_score_gemma":0.00001130376,"domain_scores_codex":[0.9985883,0.0002893287,0.0006870295,0.0001049353,0.000165797,0.0001646319],"domain_scores_gemma":[0.9966761,0.0005498074,0.0005181166,0.00190939,0.0002651098,0.00008151443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001777532,0.0001040272,0.0001521117,0.0000583906,0.0002803367,2.554798e-7,0.01048625,0.944755,0.0134717,0.0006084093,0.003501018,0.02656479],"study_design_scores_gemma":[0.0007113763,0.00005035653,0.000211572,0.0003425979,0.00006364532,0.00005231754,0.006542305,0.957399,0.02527198,0.001027143,0.008040605,0.0002871757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006885795,0.007016978,0.967937,0.01707411,0.000107574,0.0006201736,0.000005582657,0.0001868691,0.0001659147],"genre_scores_gemma":[0.5270526,0.006124171,0.4665835,0.000161032,0.000006509947,0.00001298171,0.000002141841,0.00002492039,0.00003210386],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5201669,"threshold_uncertainty_score":0.9795463,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126734312","doi":"10.1109/pimrc.2008.4699782","title":"Generalized space shift keying modulation for MIMO channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":388,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; Concordia University","funders":"","keywords":"Keying; Fading; Modulation (music); MIMO; Computer science; Antenna (radio); Phase-shift keying; Wireless; Electronic engineering; Bit error rate; Maximal-ratio combining; Topology (electrical circuits); Quadrature amplitude modulation; Telecommunications; Algorithm; Mathematics; Channel (broadcasting); Physics; Engineering; Acoustics","retraction":null,"screen_n_in":null,"score":{"opus":0.03738994011894808,"gpt":0.2544848626823782,"spread":0.2170949225634302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003155107,0.00008862091,0.0001040338,0.00007404023,0.0001031731,0.000007842563,0.0001701161,0.00006804963,0.00001633366],"category_scores_gemma":[0.00003303955,0.00009062267,0.00003490554,0.0001143874,0.00002734686,0.0001471652,0.00003421288,0.00006281098,0.00001354048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003730065,"about_ca_system_score_gemma":0.00000360051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000072641,"about_ca_topic_score_gemma":0.000005171252,"domain_scores_codex":[0.9995821,0.00000489694,0.0001230018,0.00008979115,0.00005400983,0.0001461786],"domain_scores_gemma":[0.9995512,0.00004831282,0.00001975181,0.0003383906,0.00002374556,0.0000185915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004300626,0.000008503158,0.0001430644,0.0000229156,0.00001624497,4.711817e-7,0.0003908498,0.9517955,0.01245672,0.0258644,0.001240492,0.008056531],"study_design_scores_gemma":[0.0004598073,0.00001356949,0.0007613873,0.000009460153,0.000002183758,0.0000030595,0.00007544971,0.8599565,0.1202543,0.008734152,0.009497233,0.0002329237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1960567,0.0002906837,0.800409,0.000356549,0.0001036764,0.0001967111,0.000001889697,0.00182484,0.0007599766],"genre_scores_gemma":[0.8772414,0.0002904679,0.1219838,0.00001997475,0.00002452266,0.0000969176,0.00001144581,0.00002440844,0.0003070529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6811847,"threshold_uncertainty_score":0.3695485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2626422957","doi":"10.1109/jsac.2017.2725879","title":"Capacity Comparison Between MIMO-NOMA and MIMO-OMA With Multiple Users in a Cluster","year":2017,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":374,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"MIMO; Noma; Computer science; Interference (communication); Single antenna interference cancellation; Channel capacity; Channel (broadcasting); Signal-to-noise ratio (imaging); Multi-user MIMO; Algorithm; Telecommunications; Telecommunications link","retraction":null,"screen_n_in":null,"score":{"opus":0.05451695228955756,"gpt":0.3010158793625298,"spread":0.2464989270729722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797873,0.0002299546,0.0003901612,0.0004227998,0.0006094574,0.0001910481,0.002074804,0.0001721254,0.000002788216],"category_scores_gemma":[0.0004293032,0.0002204441,0.0000313779,0.0003663912,0.0004041736,0.0005251307,0.0002184877,0.00180358,0.000005728802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002863002,"about_ca_system_score_gemma":0.00003863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009906039,"about_ca_topic_score_gemma":0.00551451,"domain_scores_codex":[0.9986137,0.0001885568,0.0005417565,0.0001623756,0.0001714507,0.0003221772],"domain_scores_gemma":[0.9962307,0.0007603322,0.0002896436,0.002466531,0.0001591007,0.00009372832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004868179,0.000188299,0.9473999,0.0000181895,0.00007920554,0.000004806886,0.0008967683,0.03358176,0.00104988,0.0002353399,0.0003060731,0.01619111],"study_design_scores_gemma":[0.002124001,0.0001142506,0.9135193,0.000497979,0.00001620171,0.00005267999,0.0003490494,0.07677031,0.002855429,0.0007788774,0.002499372,0.0004225213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907769,0.0005020669,0.004960122,0.002291179,0.00005920224,0.0002801006,0.0000162788,0.0002339406,0.0008802218],"genre_scores_gemma":[0.9751465,0.001240453,0.02344669,0.0000301711,0.00002087491,0.00005598718,0.00001015112,0.00004145423,0.000007722187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04318855,"threshold_uncertainty_score":0.8989449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2557151866","doi":"10.1109/access.2016.2646183","title":"Non-Orthogonal Multiple Access (NOMA) for Downlink Multiuser MIMO Systems: User Clustering, Beamforming, and Power Allocation","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":356,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"MIMO; Beamforming; Noma; Telecommunications link; Computer science; Base station; 3G MIMO; Single antenna interference cancellation; Transmitter power output; Interference (communication); Multi-user MIMO; Electronic engineering; Computer network; Telecommunications; Engineering; Transmitter; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.02803970517415188,"gpt":0.2930592272782144,"spread":0.2650195221040625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001430668,0.0002708143,0.0002772928,0.0001950139,0.000142483,0.000208668,0.001153501,0.0002099656,0.00001102268],"category_scores_gemma":[0.0001027804,0.0002176325,0.00005526447,0.0001419864,0.0001051432,0.001862541,0.0003292522,0.0001382431,0.0000125729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355399,"about_ca_system_score_gemma":0.00001723953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003301117,"about_ca_topic_score_gemma":0.0001258342,"domain_scores_codex":[0.9987277,0.00001299355,0.0004094079,0.0003275125,0.0001527055,0.0003697042],"domain_scores_gemma":[0.9985602,0.000279711,0.0001373983,0.0007948237,0.0001511842,0.00007662826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003628717,0.0003306523,0.1435965,0.002547,0.0007211692,0.0000119592,0.001030339,0.4237275,0.2008785,0.003162044,0.01154787,0.2120835],"study_design_scores_gemma":[0.007867645,0.0001896922,0.05567085,0.001374752,0.0000803051,0.00004185397,0.0003743212,0.5355123,0.2776773,0.001198628,0.1172658,0.002746479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4163699,0.0003204425,0.5811531,0.0001321451,0.0005112246,0.0006652931,0.00004925793,0.0006819047,0.0001167763],"genre_scores_gemma":[0.9937182,0.000456218,0.004776679,0.00004126267,0.00007240986,0.0007032961,0.00001599385,0.00007874932,0.0001372001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5773483,"threshold_uncertainty_score":0.8874797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883649305","doi":"10.1109/tvt.2019.2907253","title":"Joint Power and Time Allocation for NOMA–MEC Offloading","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":302,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council","keywords":"Noma; Computation offloading; Mobile edge computing; Computer science; Power (physics); Joint (building); Computation; Enhanced Data Rates for GSM Evolution; Power consumption; Edge computing; Energy consumption; Mathematical optimization; Computer network; Telecommunications link; Engineering; Algorithm; Mathematics; Telecommunications; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007394281403187429,"gpt":0.2076083852962899,"spread":0.2002141038931025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007005248,0.0001697489,0.0002161822,0.0004717781,0.00009540053,0.00001367133,0.0002281096,0.0003372494,0.00004343017],"category_scores_gemma":[0.000009132293,0.0001858206,0.000059717,0.0003165675,0.0001002164,0.000124069,0.000003822672,0.0003347777,0.0001626742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009189859,"about_ca_system_score_gemma":0.000008373044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.852439e-7,"about_ca_topic_score_gemma":0.000002007853,"domain_scores_codex":[0.9992489,0.000008694301,0.0002115442,0.0002316666,0.00007203863,0.0002272047],"domain_scores_gemma":[0.999181,0.00005624841,0.00003775382,0.0006460134,0.00005414346,0.00002481776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001551989,0.00006882083,0.00001659448,0.00007465493,0.0001288985,0.000001393289,0.00008622262,0.1881732,0.7159839,0.006392738,0.00007828666,0.08897968],"study_design_scores_gemma":[0.0006396712,0.0002097528,0.00003104241,0.00006239572,0.00002130002,0.00002782272,0.0002301906,0.1459584,0.8435766,0.003085318,0.005810213,0.0003473269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2895606,0.0002936164,0.7063437,0.0007054929,0.000148661,0.0004857321,0.00001094435,0.002203739,0.0002475122],"genre_scores_gemma":[0.9870211,0.000190782,0.01234306,0.00003054009,0.000003282541,0.0002384345,0.000003622191,0.00004099393,0.0001281423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6974606,"threshold_uncertainty_score":0.7577544,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321770460","doi":"10.1109/twc.2023.3246264","title":"Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":283,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Western University","funders":"Project 211; National Key Research and Development Program of China; Aarhus Universitets Forskningsfond; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; MIMO; Channel (broadcasting); Block (permutation group theory); Compressed sensing; Overhead (engineering); Base station; User equipment; Algorithm; Computer engineering; Electronic engineering; Computer network; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06384094303879215,"gpt":0.2973128616837186,"spread":0.2334719186449265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003139201,0.0003405978,0.0003788939,0.0004340115,0.0007650833,0.00009744863,0.001538839,0.0002651471,0.00001254551],"category_scores_gemma":[0.00002979319,0.000393631,0.0001649794,0.001110986,0.0002029325,0.0003699246,0.0000128809,0.0006079559,0.0003160766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850601,"about_ca_system_score_gemma":0.00003869816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005520441,"about_ca_topic_score_gemma":0.000158954,"domain_scores_codex":[0.9982613,0.0001101853,0.0006676776,0.0003090493,0.0001900455,0.0004616863],"domain_scores_gemma":[0.9954095,0.001000047,0.0001310113,0.00313611,0.0002240872,0.00009920509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001014166,0.0001281611,0.000001259586,0.00009842702,0.00009585805,2.818019e-7,0.0003728845,0.9733874,0.003850703,0.001678322,0.0005941573,0.01978242],"study_design_scores_gemma":[0.0004485491,0.00004019214,0.00001225501,0.0001649445,0.0000292536,0.000003717498,0.001227645,0.9285734,0.06341588,0.0002851193,0.005416608,0.0003824484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005549666,0.0005971547,0.9856969,0.0008465517,0.0006746971,0.001359294,0.000276366,0.004751353,0.0002480466],"genre_scores_gemma":[0.9696214,0.007434311,0.01932341,0.0000242532,0.00001027,0.001898345,0.0001703245,0.0001350888,0.00138258],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9663734,"threshold_uncertainty_score":0.9998516,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087544022","doi":"10.1109/glocomw.2014.7063547","title":"Uplink contention based SCMA for 5G radio access","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":282,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"FP7 Information and Communication Technologies; Ministry of Economy, Trade and Industry","keywords":"Telecommunications link; Computer science; Computer network; Latency (audio); Network packet; Overhead (engineering); Low latency (capital markets); Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02913954763462888,"gpt":0.2744170034291469,"spread":0.245277455794518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007458607,0.00007252391,0.00009321632,0.00006568694,0.00004283681,0.00002728136,0.0003680311,0.00006217656,0.00002544985],"category_scores_gemma":[0.000095913,0.00006974826,0.00003615317,0.00008312501,0.00002673894,0.0001665657,0.00001927977,0.00006696696,0.00001354317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003978319,"about_ca_system_score_gemma":0.000002690753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003600284,"about_ca_topic_score_gemma":0.000008994204,"domain_scores_codex":[0.9996395,0.000005809341,0.0001207819,0.00008020903,0.00003844481,0.0001152696],"domain_scores_gemma":[0.9993942,0.00011587,0.00001690874,0.0004147979,0.00004095827,0.00001728516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001394847,0.000029464,0.000665923,0.0001665949,0.00002947997,1.113374e-7,0.00001229703,0.5214334,0.01765349,0.1001956,0.003574468,0.3562252],"study_design_scores_gemma":[0.0004097798,0.00001547422,0.0004429941,0.00001304426,0.000002393884,2.641585e-7,0.00001131135,0.8472433,0.1349188,0.00284413,0.01398679,0.0001116951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006948795,0.00008648662,0.9868704,0.0003522815,0.00009582038,0.0001848931,0.000001216895,0.001917422,0.003542693],"genre_scores_gemma":[0.9627912,0.00003288346,0.03683942,0.00006124327,0.00001398693,0.0001201868,0.0000146831,0.0000203518,0.0001060344],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9558424,"threshold_uncertainty_score":0.2844251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3160036209","doi":"10.1109/jsac.2021.3078502","title":"Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":272,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Channel (broadcasting); Base station; Artificial neural network; Wireless; Artificial intelligence; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.04803678577290461,"gpt":0.3467821487054097,"spread":0.2987453629325051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002942103,0.0001772471,0.0002338174,0.000317044,0.0004559921,0.0001075831,0.0006023041,0.00008484354,0.000002135931],"category_scores_gemma":[0.0007535521,0.0001808923,0.00002698283,0.001367303,0.00002998973,0.0001750206,0.0001349828,0.0009202288,0.000005194926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947311,"about_ca_system_score_gemma":0.0000660677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007329903,"about_ca_topic_score_gemma":0.0003956676,"domain_scores_codex":[0.9988981,0.00009119667,0.0004035507,0.0001737218,0.0001360554,0.0002973946],"domain_scores_gemma":[0.997778,0.0006790002,0.00009997441,0.0008774129,0.000450642,0.0001149799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003449377,0.00004639614,0.0001997761,0.00001469474,0.00003609431,0.000001253134,0.001335848,0.9520611,0.01917135,0.0003823153,0.0001023411,0.02661438],"study_design_scores_gemma":[0.001666291,0.001844702,0.003875577,0.002271323,0.00006177191,0.0007016696,0.008113794,0.6394172,0.3125136,0.007077654,0.02091544,0.001540882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3507038,0.0007438069,0.6425449,0.00440124,0.00007422729,0.0005276306,0.000006782823,0.0005092066,0.0004884251],"genre_scores_gemma":[0.7850661,0.001184577,0.2134497,0.00009618085,0.00001308399,0.00009496669,0.00001506121,0.00004277097,0.00003748626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4343624,"threshold_uncertainty_score":0.7376574,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3203387279","doi":"10.1109/tcomm.2021.3117599","title":"Multi-RIS-Aided Wireless Systems: Statistical Characterization and Performance Analysis","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":238,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Ministry of Science and Technology, Taiwan; National Science Foundation","keywords":"Ergodic theory; Fading; Independent and identically distributed random variables; Wireless; Channel (broadcasting); Computer science; Outage probability; Topology (electrical circuits); Algorithm; Random variable; Mathematics; Computer network; Telecommunications; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.02745581189989359,"gpt":0.2605286997374888,"spread":0.2330728878375952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008868906,0.000177893,0.00027575,0.0002948866,0.0004164726,0.00007827413,0.0005024674,0.0001236685,0.00002472554],"category_scores_gemma":[0.00001043716,0.0002070479,0.00005774684,0.001072248,0.0001962216,0.0002693756,0.00001372191,0.0004498135,0.00002752564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009835879,"about_ca_system_score_gemma":0.0000277078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001165102,"about_ca_topic_score_gemma":0.00008832924,"domain_scores_codex":[0.9989872,0.0001188752,0.0003753249,0.0002021636,0.000129986,0.0001864819],"domain_scores_gemma":[0.9973555,0.0002867268,0.00005973415,0.002080642,0.000149935,0.00006745911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002554803,0.000884892,0.001294662,0.0003070652,0.001932522,0.000005372697,0.001051131,0.5912602,0.09512497,0.003654022,0.00005233439,0.3044073],"study_design_scores_gemma":[0.0002630463,0.0000190119,0.006824823,0.00004509257,0.0001875506,0.000009531082,0.0003026243,0.9774954,0.01322501,0.00001182173,0.001359572,0.000256519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06548881,0.0005110099,0.9324017,0.0002149252,0.0001352334,0.000162736,0.0001808605,0.0007841026,0.0001206677],"genre_scores_gemma":[0.9622434,0.0130671,0.02398126,0.00002115074,0.000005138868,0.0002350269,0.0002100162,0.00003342651,0.0002034933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9084204,"threshold_uncertainty_score":0.8443169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3174042897","doi":"10.1109/lcomm.2021.3091807","title":"Coverage Characterization of STAR-RIS Networks: NOMA and OMA","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":211,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Resource allocation; Noma; Maximization; Convex optimization; Star (game theory); Transmission (telecommunications); Optimization problem; Constraint (computer-aided design); Regular polygon; Decoding methods; Range (aeronautics); Algorithm; Telecommunications link; Mathematics; Telecommunications; Computer network; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01389661999900465,"gpt":0.2224621619787833,"spread":0.2085655419797787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006225371,0.0001113402,0.0001637221,0.00008508496,0.0001056974,0.00002296704,0.0006075429,0.00006793033,0.000008868515],"category_scores_gemma":[0.00003041438,0.0001369192,0.00003155017,0.0003331593,0.0001902223,0.0002103812,0.0002301661,0.0002274792,0.000003882108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004327402,"about_ca_system_score_gemma":0.000008874543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003895858,"about_ca_topic_score_gemma":0.00001357371,"domain_scores_codex":[0.9993542,0.00006616715,0.0002725803,0.0001084205,0.00007046439,0.0001281138],"domain_scores_gemma":[0.997583,0.0001552123,0.00007971605,0.00208943,0.00006724628,0.00002536289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002660956,0.00004557319,0.001099944,0.00003891543,0.00006087956,0.000001917482,0.0002586537,0.02405587,0.944894,0.001356224,0.0003056655,0.02787969],"study_design_scores_gemma":[0.001299691,0.00004438819,0.0564334,0.0003420412,0.00006786233,0.00005195423,0.0004963937,0.4685818,0.4081978,0.0007853367,0.06254473,0.00115461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7280868,0.001509023,0.2661605,0.003333042,0.00009513339,0.0001187479,0.00002779748,0.0004271254,0.0002418553],"genre_scores_gemma":[0.9770163,0.009883506,0.0125491,0.0003170994,0.000009494542,0.00004381388,0.0001410009,0.00002717834,0.00001252782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5366963,"threshold_uncertainty_score":0.5583405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3090167083","doi":"10.1109/jiot.2020.3027149","title":"URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":204,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Network packet; Beamforming; Optimization problem; Relay; Context (archaeology); Mathematical optimization; Real-time computing; Computer network; Algorithm; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01528393660661123,"gpt":0.2117214285240203,"spread":0.196437491917409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001566765,0.0001533979,0.0002945279,0.0001094253,0.00004880142,0.00003517599,0.0002667421,0.0001043471,0.0000133093],"category_scores_gemma":[0.0001510809,0.0001479362,0.00004628483,0.00009881284,0.000153241,0.0003844886,0.00009862585,0.0005653127,0.000001254596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004528053,"about_ca_system_score_gemma":0.000009946154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166646,"about_ca_topic_score_gemma":2.352578e-7,"domain_scores_codex":[0.9990298,0.00003885881,0.000504855,0.0001212801,0.0001484371,0.0001567975],"domain_scores_gemma":[0.9992704,0.0001204799,0.0002788616,0.0001433411,0.0001027284,0.00008412056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001110557,0.00005722256,0.0002428805,0.0003580613,0.0004236962,0.00002242661,0.02059922,0.1645762,0.7671595,0.000101601,0.007160713,0.03918746],"study_design_scores_gemma":[0.0008299934,0.000711305,0.00004912994,0.0006361642,0.00004242716,0.0002857058,0.003075019,0.2584063,0.7341658,0.0008421355,0.0006551501,0.000300774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5783573,0.002790872,0.4182689,0.000208989,0.00005545689,0.0001224667,0.000009152241,0.0001434795,0.00004340784],"genre_scores_gemma":[0.9642754,0.001739335,0.03387538,0.00004475718,0.000009751239,0.00001052592,0.000001616845,0.00002238612,0.0000208661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3859181,"threshold_uncertainty_score":0.6032662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205224043","doi":"10.1109/jstsp.2021.3137669","title":"Private 5G Networks: Concepts, Architectures, and Research Landscape","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Private network; Key (lock); Computer science; Private sector; Architecture; Telecommunications; Private life; Network architecture; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.02589689025487741,"gpt":0.3121589554575394,"spread":0.286262065202662,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003497572,0.0001063561,0.0002227016,0.0002595992,0.00009129451,0.00007826564,0.0002794623,0.0001239321,0.000008690814],"category_scores_gemma":[0.0001611565,0.0001011839,0.00002042868,0.001018269,0.0001101815,0.0001354345,0.00004365018,0.00135882,3.024943e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802499,"about_ca_system_score_gemma":0.00009991814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.138568e-7,"about_ca_topic_score_gemma":0.000009589866,"domain_scores_codex":[0.9988903,0.00009975529,0.0003894439,0.0001055921,0.0002442105,0.0002707277],"domain_scores_gemma":[0.9990705,0.0001965095,0.00009618803,0.0001386516,0.0004498344,0.00004831205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003243158,0.00004710508,0.004532196,0.0001925071,0.00004109008,0.0001540127,0.0007442117,0.5267862,0.04250545,0.0002450833,0.0002214758,0.4244982],"study_design_scores_gemma":[0.00283065,0.0003441709,0.01276742,0.002879654,0.00003144945,0.001383955,0.001807165,0.5037645,0.4289902,0.03238092,0.01188077,0.0009391489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8269786,0.04373659,0.1280199,0.0003885129,0.000111944,0.00008526072,8.558425e-7,0.0001399466,0.0005384029],"genre_scores_gemma":[0.9877753,0.002026851,0.009965187,0.00001701665,0.0001741374,0.00000282184,0.000001044936,0.00001990979,0.00001772423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4235591,"threshold_uncertainty_score":0.5903472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060776278","doi":"10.1109/glocom.2014.7037423","title":"SCMA for downlink multiple access of 5G wireless networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":183,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Telecommunications link; Scheduling (production processes); Code word; Wireless; Multiplexing; Code division multiple access; Wireless network; Code (set theory); Dimension (graph theory)","retraction":null,"screen_n_in":null,"score":{"opus":0.0172726655194073,"gpt":0.2548771820500031,"spread":0.2376045165305959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008432394,0.0001009973,0.0001765874,0.00006475778,0.00003678277,0.00001463825,0.0006467618,0.0001059595,0.00001124178],"category_scores_gemma":[0.0000892694,0.00009495384,0.00004468814,0.000149985,0.00005944915,0.0001568326,0.00009548428,0.0001086167,0.000002886803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001809076,"about_ca_system_score_gemma":0.000002742969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006382177,"about_ca_topic_score_gemma":0.00003547759,"domain_scores_codex":[0.9994586,0.000008340823,0.0002131368,0.00009771924,0.00005351287,0.0001687665],"domain_scores_gemma":[0.9989442,0.000346787,0.00004541454,0.0005815346,0.00005967959,0.00002239747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007120185,0.00001654355,0.001454769,0.00007623224,0.00002138293,3.518466e-8,0.00001705192,0.7501084,0.003185061,0.01423855,0.0006851254,0.2301897],"study_design_scores_gemma":[0.0003100103,0.00001603209,0.0006905943,0.00001940533,0.000002852378,2.567446e-7,0.00002561469,0.915774,0.07630157,0.00137248,0.005361196,0.0001259944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03055822,0.0001647672,0.9655553,0.0000684874,0.00010111,0.0002041711,0.00000406956,0.001057016,0.00228687],"genre_scores_gemma":[0.9769974,0.0002135561,0.02256763,0.00002327425,0.00002524231,0.0000899351,0.00001241267,0.00002730002,0.00004318828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9464392,"threshold_uncertainty_score":0.3872105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285169037","doi":"10.1109/jproc.2022.3174140","title":"A State-of-the-Art Survey on Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access Networks","year":2022,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; Western University","funders":"","keywords":"State (computer science); Computer science; Surface (topology); Computer architecture; Mathematics; Algorithm; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.03207947475511085,"gpt":0.2501663742842967,"spread":0.2180868995291859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004160299,0.0001537337,0.0002287351,0.00006041417,0.0001872357,0.00002489076,0.001945266,0.00004666994,0.00002019146],"category_scores_gemma":[0.0001680138,0.0001186657,0.00009724697,0.0006356388,0.0001063589,0.0001331275,0.0004344996,0.0005467192,0.000001890587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125478,"about_ca_system_score_gemma":0.00001859739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004478059,"about_ca_topic_score_gemma":0.0000525791,"domain_scores_codex":[0.9989601,0.00001833939,0.0003680806,0.000158053,0.000274273,0.000221121],"domain_scores_gemma":[0.9989598,0.0002167005,0.0002635951,0.0003817922,0.0001552192,0.00002287604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005561741,0.00006024337,0.02481774,0.0000574225,0.000050355,5.758093e-8,0.0001046605,0.9449885,0.01759155,0.00005596788,0.005430869,0.006787011],"study_design_scores_gemma":[0.0003326953,0.00007121384,0.08767693,0.0001441493,0.00001214393,0.000003437407,0.0001615395,0.1848113,0.7233555,0.0008731502,0.002259469,0.0002983998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964387,0.0001432726,0.001098643,0.0001452148,0.0005062147,0.0004185729,0.00005397198,0.0001971317,0.0009982416],"genre_scores_gemma":[0.9991064,0.0001459281,0.0003129977,0.00002283304,0.000005877479,0.0000621725,0.000003947483,0.00003697312,0.0003028592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7601772,"threshold_uncertainty_score":0.4839047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156374892","doi":"10.1109/iswcs.2014.6933472","title":"Blind detection of SCMA for uplink grant-free multiple-access","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":174,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Codebook; Random access; Telecommunications link; Code word; Transmission (telecommunications); Wireless; Computer network; Decoding methods; Code (set theory); Set (abstract data type); Algorithm; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.0306846814679293,"gpt":0.2681422259292269,"spread":0.2374575444612976,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007634446,0.00007924539,0.0001202137,0.0001003038,0.00003717093,0.00001026648,0.0005908156,0.00008124329,0.000005030352],"category_scores_gemma":[0.0003546037,0.00007687273,0.0000379491,0.0001336261,0.00004108558,0.0001514384,0.0001237051,0.00007857473,0.000003187077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000226248,"about_ca_system_score_gemma":0.000001744728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001083719,"about_ca_topic_score_gemma":0.0001126785,"domain_scores_codex":[0.9995741,0.00000553409,0.0001763066,0.00008331619,0.00004930501,0.0001114371],"domain_scores_gemma":[0.9989519,0.0002156832,0.00003861206,0.0007169551,0.00006184016,0.00001498896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003433419,0.00002291952,0.0004721146,0.0001649988,0.00002834141,3.308134e-8,0.00002687038,0.07717133,0.2041572,0.006159347,0.0001415107,0.711621],"study_design_scores_gemma":[0.000478767,0.00002022588,0.0002948651,0.000009116534,0.000002702314,3.341249e-7,0.00001909369,0.36588,0.6249478,0.00443414,0.003830838,0.00008207856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07063573,0.00008374506,0.9273588,0.00006311401,0.00008370315,0.0002435336,0.00000312433,0.0009106095,0.0006176101],"genre_scores_gemma":[0.9464167,0.00008164292,0.05328063,0.00000653398,0.00001266083,0.000152078,0.000003279738,0.00002122173,0.00002529808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8757809,"threshold_uncertainty_score":0.3134779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399601919","doi":"10.1109/jproc.2024.3404491","title":"RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications","year":2024,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":174,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Computer science; Computer architecture; Systems engineering; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01633331168204684,"gpt":0.2253931726003882,"spread":0.2090598609183414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001481263,0.0001300252,0.0001669057,0.0000852368,0.00009941999,0.00008072975,0.0006739118,0.00008230082,3.277254e-7],"category_scores_gemma":[0.0000258453,0.00010385,0.00004702629,0.0002320963,0.00007899366,0.0001549061,0.0001240595,0.0001314795,0.000003194775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199824,"about_ca_system_score_gemma":0.000008553279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003149757,"about_ca_topic_score_gemma":1.596081e-7,"domain_scores_codex":[0.9993542,0.000003033786,0.0002349361,0.0001562013,0.0001040951,0.0001474868],"domain_scores_gemma":[0.9993889,0.0001475735,0.0000777552,0.0002728544,0.00008884136,0.00002402607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002558935,0.00004634661,0.0001142941,0.02098356,0.0002722441,3.562784e-7,0.0007585619,0.06538988,0.731752,0.138711,0.0349133,0.007032808],"study_design_scores_gemma":[0.0003662775,0.00004408219,0.00001697098,0.0009090301,0.00007963365,0.00001588539,0.004539132,0.2838383,0.6881334,0.006175372,0.0155745,0.0003074407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03825612,0.03675951,0.9100098,0.0006727626,0.0008668152,0.005576529,0.0001385055,0.004387135,0.003332809],"genre_scores_gemma":[0.9854398,0.0004997742,0.01235403,0.000002978783,0.00004297113,0.001460276,8.107302e-7,0.00004345991,0.0001559112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9471837,"threshold_uncertainty_score":0.423488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136928177","doi":"10.1109/jproc.2021.3061778","title":"New Trends in Stochastic Geometry for Wireless Networks: A Tutorial and Survey","year":2021,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Context (archaeology); Wireless network; Wireless; Commercialization; Data science; Key (lock); Wireless sensor network; Software deployment; Artificial intelligence; Telecommunications; Software engineering; Computer security; Computer network; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01733197461476586,"gpt":0.2423736265622569,"spread":0.225041651947491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406087,0.00009203767,0.0001722518,0.00009892164,0.0000291525,0.00002033286,0.0003057837,0.00008383103,0.000001968001],"category_scores_gemma":[0.0001964383,0.00008254778,0.00003077883,0.0006500366,0.0000383421,0.0001047442,0.0001002278,0.000157249,1.243553e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003659366,"about_ca_system_score_gemma":0.0000101724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001564539,"about_ca_topic_score_gemma":0.00005184852,"domain_scores_codex":[0.9994919,0.00000263761,0.0001716196,0.0001120042,0.00007304952,0.0001488289],"domain_scores_gemma":[0.999575,0.000138796,0.00005271202,0.0001296271,0.00008261876,0.00002122208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000218646,0.000105704,0.01696773,0.0004575241,0.0001988471,5.777075e-7,0.0009353159,0.4534024,0.08163337,0.01459539,0.01655577,0.4149288],"study_design_scores_gemma":[0.004815282,0.00014264,0.1043215,0.0007902952,0.0000680704,0.00002541614,0.001094558,0.6035013,0.2655203,0.01703437,0.00143919,0.001247047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429579,0.001424425,0.05407121,0.0002180838,0.0007392799,0.0001767061,0.00001358741,0.0002571615,0.0001416025],"genre_scores_gemma":[0.9970864,0.0001006236,0.002591931,0.000004794639,0.00006596902,0.00002269037,0.00000189625,0.00002053294,0.0001051817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4136817,"threshold_uncertainty_score":0.3366201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789414605","doi":"10.1109/tmc.2018.2812722","title":"Optimal Power Allocation and Scheduling for Non-Orthogonal Multiple Access Relay-Assisted Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Relay; Computer science; Time division multiple access; Computer network; Telecommunications link; Noma; Throughput; Scheduling (production processes); Cellular network; Transmitter power output; Relay channel; Base station; Spectral efficiency; Wireless; Channel (broadcasting); Power (physics); Telecommunications; Mathematical optimization; Transmitter; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01862706309625283,"gpt":0.2786956921354312,"spread":0.2600686290391783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001319485,0.0001857736,0.000177941,0.0001499756,0.0004267426,0.00007464106,0.000296217,0.0001530787,0.00000804931],"category_scores_gemma":[0.00001169497,0.0002114968,0.00006084007,0.0002483854,0.0001234104,0.0002424392,0.000009193372,0.0003308604,0.000004308358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007244744,"about_ca_system_score_gemma":0.00001190034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002492107,"about_ca_topic_score_gemma":0.00001209004,"domain_scores_codex":[0.9990727,0.00001659297,0.0002948872,0.0002556198,0.0000868917,0.0002732665],"domain_scores_gemma":[0.9990452,0.0003563226,0.00006596943,0.0003790752,0.0001030561,0.00005037935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001768165,0.00003112475,0.00003741019,0.00001823435,0.000031457,2.052532e-7,0.00009799511,0.9032174,0.002134395,0.00002380851,0.00001006142,0.09438023],"study_design_scores_gemma":[0.0004536546,0.0001061452,0.0004138499,0.00008135205,0.00001163584,0.000006171928,0.000126614,0.9740628,0.02433793,0.00001721807,0.0001696852,0.0002129716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3432869,0.00008093131,0.6553039,0.00002152231,0.0003162068,0.0003260178,0.000005029384,0.0006311571,0.00002833388],"genre_scores_gemma":[0.8940264,0.00007438617,0.1056167,0.00002165353,0.00005137645,0.0001478845,0.000006322601,0.00004747219,0.000007770522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5507395,"threshold_uncertainty_score":0.8624589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088537232","doi":"10.1109/lwc.2020.3026712","title":"Outage Probability and Capacity Scaling Law of Multiple RIS-Aided Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":161,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Department of Education of Guangdong Province; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Scaling law; Relay; Expression (computer science); Scaling; Outage probability; Computer science; Signal-to-noise ratio (imaging); Topology (electrical circuits); Capacity planning; Applied mathematics; Mathematical optimization; Mathematics; Telecommunications; Fading; Power (physics); Physics; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.04757574156426466,"gpt":0.2319181478005132,"spread":0.1843424062362486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001710969,0.0002205333,0.0003596396,0.00005985942,0.0002210037,0.0000322397,0.001454778,0.0001331259,0.000002645135],"category_scores_gemma":[0.00008965882,0.0002497572,0.00007213967,0.0003686374,0.0009929204,0.0002678482,0.0004026549,0.0006477592,0.000004176399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006650189,"about_ca_system_score_gemma":0.000006595425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008572161,"about_ca_topic_score_gemma":0.0001198556,"domain_scores_codex":[0.9987334,0.0001380483,0.000518177,0.0002289203,0.000131045,0.0002503961],"domain_scores_gemma":[0.9968743,0.0005039048,0.0001401656,0.002321467,0.00006901967,0.00009110731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002280711,0.0001175915,0.006523436,0.0003511013,0.0001572197,0.000001112364,0.00253101,0.7168642,0.2313252,0.02193169,0.0003624227,0.01981219],"study_design_scores_gemma":[0.0005604973,0.00001877195,0.001155168,0.0000980984,0.00002358195,0.000002856606,0.0003252941,0.9536723,0.04151823,0.0005925793,0.001591599,0.0004410061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.70301,0.000786076,0.2898073,0.00453957,0.00005850846,0.0004074227,0.00003246758,0.001123708,0.0002349413],"genre_scores_gemma":[0.9444612,0.0007901344,0.05404734,0.0005254327,0.0000163279,0.00009600906,0.00002034721,0.00004268561,5.419283e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2414512,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400526331","doi":"10.1109/mvt.2024.3415570","title":"Reconfigurable Intelligent Surfaces for 6G: Emerging Hardware Architectures, Applications, and Open Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":161,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council; HORIZON EUROPE Framework Programme; Deutsche Forschungsgemeinschaft; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Natural Science Foundation of China; Canada Research Chairs; Agency for Science, Technology and Research","keywords":"Embedded system; Computer architecture; Computer science; Field-programmable gate array; Engineering; Computer hardware","retraction":null,"screen_n_in":null,"score":{"opus":0.0259460479790319,"gpt":0.282401637119424,"spread":0.2564555891403921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002049257,0.0002513367,0.0003148739,0.0004941513,0.000131099,0.00009028383,0.00100422,0.0003087969,0.00001199617],"category_scores_gemma":[0.00005125689,0.0002465473,0.00004641181,0.0004738238,0.0002027495,0.0001223685,0.0001938872,0.0004615813,0.00004964947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006324532,"about_ca_system_score_gemma":0.00001688924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001969929,"about_ca_topic_score_gemma":0.00003553071,"domain_scores_codex":[0.9988554,0.00001538038,0.0002977849,0.0004334777,0.00007600654,0.0003219159],"domain_scores_gemma":[0.9988785,0.0001350077,0.00003867711,0.0008490628,0.00006153277,0.00003726018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005978855,0.00002149713,0.00001926112,0.0005622589,0.0001594364,0.000007913407,0.00008515234,0.02420061,0.04114403,0.02636728,0.001064742,0.9063618],"study_design_scores_gemma":[0.0001839059,0.00005802567,0.00002166778,0.0002002452,0.00002553866,0.00005501963,0.0003016665,0.04193854,0.1599659,0.04822431,0.7486454,0.000379787],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02843018,0.4477155,0.4873006,0.01746075,0.0004295667,0.00336895,0.0001020119,0.01259782,0.002594618],"genre_scores_gemma":[0.9000549,0.05128888,0.04531017,0.00002931022,0.0000394031,0.0027961,0.0000331677,0.0001221814,0.0003258754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9059821,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901382282","doi":"10.1109/tvt.2018.2881314","title":"Joint Energy Efficient Subchannel and Power Optimization for a Downlink NOMA Heterogeneous Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Macrocell; Computer science; Heterogeneous network; Telecommunications link; Resource allocation; Efficient energy use; Throughput; Spectral efficiency; Mathematical optimization; Cellular network; Transmitter power output; Optimization problem; Computer network; Distributed computing; Wireless network; Wireless; Channel (broadcasting); Base station; Engineering; Algorithm; Telecommunications; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.009085521901067003,"gpt":0.2065781592497714,"spread":0.1974926373487044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006340924,0.0002180661,0.0002317616,0.000375004,0.0002653963,0.00001754242,0.0002491277,0.000413486,0.00002026932],"category_scores_gemma":[0.000008535565,0.0002315353,0.00007158532,0.0004906137,0.0003102095,0.00004486749,0.000006955558,0.0002316939,0.000007984822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008434756,"about_ca_system_score_gemma":0.000008735981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001975018,"about_ca_topic_score_gemma":0.00001706893,"domain_scores_codex":[0.9990011,0.00001470884,0.0002640531,0.0002903582,0.00008109882,0.0003486634],"domain_scores_gemma":[0.9990989,0.00004248335,0.00005051789,0.0006573148,0.0001112138,0.00003959506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001408817,0.00003923379,6.000529e-7,0.000009729432,0.0000507468,0.000001830933,0.00002280735,0.9721249,0.003282572,0.001133023,0.0000302118,0.02329031],"study_design_scores_gemma":[0.000340968,0.0002530966,0.000001298318,0.0000274912,0.00001632974,0.00003223884,0.00004162874,0.7830203,0.2131395,0.0009976424,0.001912882,0.000216538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0460494,0.000598634,0.9500782,0.0003950116,0.0003842603,0.0002713856,0.00001540826,0.002170529,0.00003718155],"genre_scores_gemma":[0.9543563,0.0004058869,0.04473658,0.00005695145,0.00002461914,0.0003465289,0.000004665448,0.00005618027,0.00001228193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083069,"threshold_uncertainty_score":0.9441738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2961380111","doi":"10.1109/mvt.2019.2919236","title":"AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enabling; Wireless network; Wireless; Quality of service; Open research; Service (business); Radio resource management; Core network; Key (lock)","retraction":null,"screen_n_in":null,"score":{"opus":0.02089846816230519,"gpt":0.2498956206753927,"spread":0.2289971525130876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001989577,0.0003823265,0.0005994646,0.0004343085,0.0001062638,0.00007175432,0.001664256,0.0007799388,0.00005072534],"category_scores_gemma":[0.00001429044,0.0003849848,0.00004221056,0.0005159095,0.0002830296,0.0004613137,0.0007157448,0.0008831805,0.0001160292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007378821,"about_ca_system_score_gemma":0.00002080576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003615509,"about_ca_topic_score_gemma":0.00003211955,"domain_scores_codex":[0.9985109,0.00003838647,0.0003599151,0.0004444705,0.0001397514,0.0005065725],"domain_scores_gemma":[0.9979932,0.00003950987,0.00008981333,0.001702592,0.0001077247,0.00006714966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004835525,0.0001702212,0.001027106,0.0005225088,0.0005240862,0.0002194089,0.0001771506,0.04421745,0.02932664,0.2121888,0.02005712,0.6915211],"study_design_scores_gemma":[0.00139811,0.0001935354,0.0003400722,0.0002279254,0.00003235173,0.0001504684,0.001517858,0.08138177,0.01314805,0.008326826,0.8922635,0.001019536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5029066,0.3290465,0.02052437,0.1097716,0.002367497,0.003896025,0.00004498518,0.02108853,0.01035391],"genre_scores_gemma":[0.8490444,0.1457952,0.003576056,0.000254521,0.00009147538,0.0002281427,0.00003198744,0.0001213091,0.0008568898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8722064,"threshold_uncertainty_score":0.9998602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366721991","doi":"10.1109/access.2023.3269297","title":"Innovative Trends in the 6G Era: A Comprehensive Survey of Architecture, Applications, Technologies, and Challenges","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Network architecture; Telecommunications; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.10987245268414,"gpt":0.3354749266990531,"spread":0.2256024740149131,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605746,0.0001144262,0.0001811474,0.0005639336,0.00003717668,0.00001616104,0.0009604314,0.0000958117,7.154032e-7],"category_scores_gemma":[0.00005747455,0.00009046568,0.00001045233,0.003173231,0.0001969415,0.0001030418,0.000195037,0.0003182828,0.000001855493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002083464,"about_ca_system_score_gemma":0.000005472396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005536076,"about_ca_topic_score_gemma":0.0004155302,"domain_scores_codex":[0.9993636,0.00004892047,0.0002049328,0.0001423335,0.00009382406,0.0001463916],"domain_scores_gemma":[0.9987374,0.0004845296,0.00005920349,0.0006258977,0.00008739544,0.000005592941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000004040347,0.00001533405,0.001831894,0.00007398314,0.00002035239,0.000001122882,0.0002957029,0.009251587,0.000518095,0.002610601,0.0002080449,0.9851692],"study_design_scores_gemma":[0.0004257731,0.00003745537,0.9505827,0.00005839299,0.000003908977,0.00000567074,0.003409052,0.00245704,0.01696611,0.01548466,0.01023306,0.0003362026],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334731,0.03087685,0.02354185,0.004312396,0.000113587,0.001002947,0.0001595114,0.004937464,0.00158233],"genre_scores_gemma":[0.9846279,0.01454471,0.0004161087,0.00001180607,0.000003572355,0.0003500642,0.00002861531,0.00001485464,0.000002348568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9848331,"threshold_uncertainty_score":0.3689083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998795925","doi":"10.1109/twc.2019.2963185","title":"DeepNOMA: A Unified Framework for NOMA Using Deep Multi-Task Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Noma; Computer science; Orthogonality; Deep learning; Single antenna interference cancellation; Task (project management); Channel (broadcasting); Computer engineering; Artificial intelligence; Distributed computing; Computer network; Telecommunications link","retraction":null,"screen_n_in":null,"score":{"opus":0.06483600044087513,"gpt":0.2990843883546044,"spread":0.2342483879137293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001018165,0.0003418946,0.0003740667,0.0002147133,0.0009602344,0.00007027848,0.001800154,0.000305815,0.00002010565],"category_scores_gemma":[0.00006737197,0.0004162467,0.0001976783,0.0008438145,0.0002725617,0.0002910859,0.00002487188,0.001380935,0.00004747705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919862,"about_ca_system_score_gemma":0.00003910641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145339,"about_ca_topic_score_gemma":0.00006031786,"domain_scores_codex":[0.9984846,0.0001178277,0.000524786,0.00031621,0.0001550194,0.0004015383],"domain_scores_gemma":[0.996549,0.0009498126,0.0001280257,0.002070611,0.0001482072,0.0001543038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000025864,0.0001694348,0.00001885169,0.00006928284,0.0001278359,6.191469e-7,0.001236338,0.9195717,0.01339822,0.005240718,0.00001029012,0.06013086],"study_design_scores_gemma":[0.0006201905,0.00007214447,0.00001884219,0.00008163566,0.0000535141,0.000004014101,0.001261345,0.9742069,0.0202402,0.0006320687,0.002361225,0.0004479339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01001224,0.0007455031,0.9842775,0.001242059,0.0001473126,0.0006570779,0.0000571423,0.002763998,0.00009711021],"genre_scores_gemma":[0.6821876,0.001123757,0.3160464,0.000108962,0.00001562385,0.0003869646,0.00001930949,0.000100293,0.00001120244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6721753,"threshold_uncertainty_score":0.9998289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312763750","doi":"10.1109/tit.2022.3227538","title":"Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Imperfect CSI","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"European Research Council; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Università degli Studi dell'Aquila; Centre National de la Recherche Scientifique; Killam Trusts; Bundesministerium für Bildung und Forschung; University of Technology Sydney; University of New South Wales; School of Electronic Engineering and Computer Science, Queen Mary University of London; Académie des Sciences, Institut de France; Queen Mary University of London; Commonwealth Scientific and Industrial Research Organisation; National Science Foundation; Beijing University of Posts and Telecommunications; European Commission; Alexander von Humboldt-Stiftung; Vodafone Foundation; University of Warwick; Northumbria University; Deutsche Forschungsgemeinschaft; Nokia Foundation; Jiangsu Science and Technology Department; China Scholarship Council; University of Essex; National Natural Science Foundation of China; Royal Academy of Engineering","keywords":"Rician fading; MIMO; Fading; Computer science; Channel state information; Beamforming; Transmitter power output; Base station; Channel (broadcasting); Spatial correlation; Control theory (sociology); Algorithm; Electronic engineering; Wireless; Telecommunications; Engineering; Transmitter","retraction":null,"screen_n_in":null,"score":{"opus":0.01544285623752507,"gpt":0.2224374951626247,"spread":0.2069946389250996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004745659,0.0002003776,0.0002044325,0.0002591702,0.0004884361,0.00006270548,0.0003562808,0.0000635097,0.0001722006],"category_scores_gemma":[0.00001001457,0.0001961537,0.00007390811,0.0003456017,0.00006370062,0.0007814413,0.000002429273,0.0003899763,0.00006158256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629452,"about_ca_system_score_gemma":0.00004312175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007419323,"about_ca_topic_score_gemma":0.000001612281,"domain_scores_codex":[0.9989212,0.0001212705,0.0004119491,0.0001105461,0.0001877278,0.0002472911],"domain_scores_gemma":[0.9986641,0.000535708,0.000123406,0.0005281427,0.0001036458,0.00004497766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001563618,0.00002328012,2.475105e-7,0.0000563804,0.00007657237,2.055042e-7,0.0006115972,0.9775185,0.000650559,0.003148852,0.000267144,0.01749032],"study_design_scores_gemma":[0.001138976,0.0004555219,8.887681e-7,0.00005626725,0.00003961825,0.00002630718,0.01148935,0.6731225,0.3043523,0.002105648,0.006734833,0.0004778756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002513976,0.0001647894,0.9926837,0.00005627319,0.0004743531,0.001165352,0.0001423299,0.001123584,0.001675607],"genre_scores_gemma":[0.9895766,0.0001227599,0.008340028,0.00004330318,0.00000570969,0.001545984,0.00003009731,0.0000379811,0.0002974938],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9870627,"threshold_uncertainty_score":0.7998917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3203580723","doi":"10.1109/tits.2021.3113995","title":"Cognitive AmBC-NOMA IoV-MTS Networks With IQI: Reliability and Security Analysis","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Henan Provincial Science and Technology Research Project; National Natural Science Foundation of China","keywords":"Computer science; Reliability (semiconductor); Cognitive radio; Quality of service; Diversity gain; Backscatter (email); Signal-to-noise ratio (imaging); Latency (audio); Monte Carlo method; Computer network; Fading; Power (physics); Telecommunications; Mathematics; Statistics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01322325553900653,"gpt":0.2366405040370368,"spread":0.2234172484980303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001294156,0.0002705452,0.0004153402,0.0002653338,0.0001616325,0.00005807172,0.000136409,0.0001888955,0.00005456191],"category_scores_gemma":[0.000004758497,0.0002698277,0.0001386485,0.001293112,0.0001368951,0.0002180042,4.783161e-7,0.0004448157,0.00001014699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009650431,"about_ca_system_score_gemma":0.00002302587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000579367,"about_ca_topic_score_gemma":0.001112075,"domain_scores_codex":[0.9984862,0.00008080304,0.0005487018,0.0003990199,0.0002490699,0.000236207],"domain_scores_gemma":[0.9987041,0.0002782737,0.00008558737,0.0005302917,0.0003071909,0.00009459969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004222205,0.00008499131,0.0006997384,0.00009824563,0.0005954692,0.00001158161,0.0008235168,0.9935108,0.00007377422,0.0001672363,0.000004384179,0.003888038],"study_design_scores_gemma":[0.0009375468,0.0001960771,0.00599021,0.0004666109,0.001419825,0.00002456509,0.01236075,0.8864924,0.09016813,0.0001335658,0.0007448479,0.001065483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2000359,0.0007946441,0.7977437,0.00002602119,0.0002060669,0.0003095904,0.000110302,0.0006441216,0.0001297286],"genre_scores_gemma":[0.997026,0.001891851,0.0006151844,0.00001439437,0.00001165751,0.0002337775,0.0001028346,0.00003956007,0.00006471435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7971285,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3214686513","doi":"10.1109/twc.2022.3160151","title":"Resource Allocation in STAR-RIS-Aided Networks: OMA and NOMA","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Mathematical optimization; Resource allocation; Optimization problem; Channel (broadcasting); Decoding methods; Transmission (telecommunications); Maximization; Convex optimization; Algorithm; Mathematics; Telecommunications; Computer network; Regular polygon","retraction":null,"screen_n_in":null,"score":{"opus":0.01897337274127371,"gpt":0.239327800303932,"spread":0.2203544275626583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000253791,0.0002327662,0.0002507003,0.0004754738,0.0008395046,0.00003918825,0.001380009,0.0001075658,0.00004392776],"category_scores_gemma":[0.000007185775,0.0003025566,0.0000603288,0.001046021,0.0002491197,0.0002373447,0.00005381621,0.001257422,0.000008534349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368356,"about_ca_system_score_gemma":0.00002596301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006166578,"about_ca_topic_score_gemma":0.0005802943,"domain_scores_codex":[0.9985106,0.0002529383,0.0004754416,0.000256969,0.000201334,0.0003026972],"domain_scores_gemma":[0.9967605,0.0004959269,0.00008297728,0.002556577,0.00003950211,0.00006453387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001908929,0.0002130599,0.00005722458,0.00001255202,0.00003380257,0.000001251233,0.0005661718,0.9101331,0.001394302,0.002230805,0.0001614593,0.08517719],"study_design_scores_gemma":[0.000860482,0.00009642608,0.0009477101,0.00005613375,0.00002066704,0.00002317257,0.003190763,0.9719733,0.002854298,0.0005681848,0.01886774,0.0005411258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2372697,0.003076776,0.7501467,0.004381522,0.0002357972,0.000966661,0.000102435,0.002463415,0.001357005],"genre_scores_gemma":[0.9900502,0.003656145,0.004712949,0.0001246487,0.000005311577,0.00125039,0.00004708342,0.00006989267,0.00008336404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7527806,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2809668091","doi":"10.1109/twc.2018.2844359","title":"Energy Efficient Dynamic Resource Optimization in NOMA System","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Lyapunov optimization; Telecommunications link; Noma; Resource allocation; Mathematical optimization; Transmitter power output; Optimization problem; Quality of service; Power control; Single antenna interference cancellation; Wireless network; Wireless; Lyapunov function; Power (physics); Computer network; Algorithm; Transmitter; Mathematics; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01190398462662873,"gpt":0.23466345785041,"spread":0.2227594732237812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001414259,0.0002554263,0.0002583833,0.0006074702,0.0004670377,0.00004146653,0.001527342,0.0002038018,0.00002049936],"category_scores_gemma":[0.000004549421,0.0002998169,0.00007812997,0.001186996,0.000422083,0.0001400064,0.00001965824,0.0004906338,0.00005641541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005937988,"about_ca_system_score_gemma":0.00002772357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004351497,"about_ca_topic_score_gemma":0.00054915,"domain_scores_codex":[0.9985704,0.0001446913,0.0005206615,0.0002556153,0.000185364,0.000323295],"domain_scores_gemma":[0.9962922,0.0002609128,0.00008454396,0.003186185,0.0001103339,0.00006587531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009806958,0.0001365238,0.000002392026,0.00001880208,0.00002193141,6.030692e-7,0.000213885,0.9533072,0.0009713228,0.002468703,0.00002288581,0.04282594],"study_design_scores_gemma":[0.0003371251,0.0000384218,0.00002101662,0.0001607195,0.00001077888,0.000008383406,0.0007081363,0.9864786,0.0105056,0.00002766048,0.001426024,0.0002775849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009928003,0.0003497984,0.98282,0.0003257478,0.0001850466,0.0002344614,0.00003399771,0.002145653,0.003977285],"genre_scores_gemma":[0.979601,0.000906852,0.01888851,0.00003319533,0.000009250244,0.0003860782,0.00002607056,0.00007886635,0.0000701892],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.969673,"threshold_uncertainty_score":0.9999454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024566913","doi":"10.1109/lwc.2020.2994930","title":"Reconfigurable intelligent surface-assisted space shift keying","year":2020,"lang":"en","type":"article","venue":"Digital Collections portal (Koç University)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Transmission (telecommunications); Computer science; Modulation (music); Keying; Detector; Electronic engineering; Scheme (mathematics); Bit error rate; Energy (signal processing); Molecular communication; Space (punctuation); Surface (topology); Telecommunications; Mathematics; Physics; Engineering; Acoustics; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.02201019669491043,"gpt":0.1898209317863966,"spread":0.1678107350914862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001749821,0.0001612368,0.0001833287,0.0002316752,0.0002961039,0.0001242659,0.0003482522,0.00009595363,0.0001124184],"category_scores_gemma":[0.00007322279,0.0002100986,0.00009473622,0.002344289,0.00008431263,0.000657855,0.00008570911,0.0002713976,0.0000805844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001620781,"about_ca_system_score_gemma":0.00004048464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001343861,"about_ca_topic_score_gemma":0.00005282648,"domain_scores_codex":[0.9993079,0.00001070499,0.0001632175,0.0002028128,0.00009807258,0.0002173404],"domain_scores_gemma":[0.9994208,0.0000668548,0.00004937651,0.0002900273,0.00005621981,0.0001167763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001887915,0.0003803647,0.004329504,0.0002337523,0.000965867,0.0005169558,0.002919112,0.8414187,0.00785248,0.0506518,0.04568422,0.04485844],"study_design_scores_gemma":[0.0008891105,0.0002312895,0.0007251478,0.00007807188,0.00005551432,0.00003849895,0.01084189,0.02735585,0.03383538,0.001036328,0.9236399,0.001273029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1156913,0.0002533197,0.1037186,0.001001789,0.0002490685,0.0004035557,0.0001253656,0.005074196,0.7734828],"genre_scores_gemma":[0.9922195,0.000180008,0.0008626312,0.00001542912,0.000009455703,0.000001142739,0.00003133087,0.00002777101,0.006652696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8779557,"threshold_uncertainty_score":0.8567573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989312698","doi":"10.1109/twc.2019.2948874","title":"Energy Efficient Resource Management in SWIPT Enabled Heterogeneous Networks With NOMA","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Computer science; Mathematical optimization; Efficient energy use; Heterogeneous network; Resource allocation; Energy consumption; Optimization problem; Wireless; Wireless network; Maximum power transfer theorem; Distributed computing; Power (physics); Computer network; Algorithm; Telecommunications; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.009562890829872004,"gpt":0.2120287658002797,"spread":0.2024658749704077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001052749,0.0003065271,0.0003041642,0.0004734064,0.0002338822,0.00004343743,0.001615244,0.00016282,0.00003601359],"category_scores_gemma":[6.168019e-7,0.0003189222,0.00008175137,0.0009812701,0.0001710557,0.0001057733,0.00002847546,0.0006452887,0.00005205273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961076,"about_ca_system_score_gemma":0.00001348938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003367381,"about_ca_topic_score_gemma":0.0003147395,"domain_scores_codex":[0.9985362,0.0001068967,0.0004274757,0.0003054562,0.0002084871,0.0004154381],"domain_scores_gemma":[0.9956706,0.0002473452,0.00007503657,0.003891458,0.00004584642,0.00006969649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002818425,0.0002241706,0.00001856547,0.0000227472,0.00008480567,0.000003394407,0.00009550925,0.9504144,0.0002577662,0.001632638,0.00001599957,0.04720185],"study_design_scores_gemma":[0.0009147265,0.00007208799,0.00007323149,0.0001674913,0.00002320916,0.00001472692,0.0004481239,0.9824759,0.008687008,0.00004793482,0.00662414,0.0004513972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07436724,0.0007832986,0.9158472,0.0002511923,0.0001138502,0.000571811,0.00001280135,0.001357995,0.006694581],"genre_scores_gemma":[0.989887,0.002865575,0.006158778,0.00007384274,0.000004279411,0.0006312955,0.00002005099,0.00009266227,0.0002664985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9155198,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3039219915","doi":"10.1109/jsac.2020.3007044","title":"Large Intelligent Surface Assisted Wireless Communications With Spatial Modulation and Antenna Selection","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Antenna diversity; Algorithm; Bit error rate; Wireless; Euclidean distance; Computational complexity theory; Selection (genetic algorithm); Antenna (radio); Telecommunications; Computer engineering; Artificial intelligence; Decoding methods","retraction":null,"screen_n_in":null,"score":{"opus":0.03932121531838317,"gpt":0.2779054602869929,"spread":0.2385842449686097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002462346,0.0002845538,0.0003413909,0.0002685991,0.0005784366,0.0001213116,0.001600172,0.0001738067,0.00001196956],"category_scores_gemma":[0.0001358881,0.0002828958,0.00004358483,0.001645047,0.0002239649,0.0003855697,0.0002423734,0.00181306,0.00001265493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003144971,"about_ca_system_score_gemma":0.00007929367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002256846,"about_ca_topic_score_gemma":0.001081291,"domain_scores_codex":[0.9982014,0.0003454397,0.0006381129,0.0002158765,0.0002570204,0.0003420926],"domain_scores_gemma":[0.9971367,0.0004612932,0.0002431274,0.001577196,0.0004228254,0.0001588517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006594024,0.002535844,0.07738583,0.000208937,0.000975116,0.00002218631,0.01109389,0.4549436,0.2047959,0.01390588,0.001273854,0.2321996],"study_design_scores_gemma":[0.0008550051,0.0001955981,0.01801684,0.0002094238,0.00002434298,0.00009765904,0.0006578536,0.9732227,0.003137673,0.0003144228,0.002877138,0.0003913172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4395137,0.001704733,0.5483685,0.007824996,0.00008753552,0.0006125487,0.00003730666,0.001223757,0.0006268683],"genre_scores_gemma":[0.9714787,0.008689779,0.01948758,0.000130263,0.00002962682,0.00004559747,0.00006430099,0.00006681655,0.00000736101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5319649,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909432978","doi":"10.1109/jstsp.2019.2893057","title":"Delay-Minimization Nonorthogonal Multiple Access Enabled Multi-User Mobile Edge Computation Offloading","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","keywords":"Computer science; Minification; Computation offloading; Computation; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Edge computing; Computer network; Algorithm; Server; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02065879738885893,"gpt":0.2791602035101168,"spread":0.2585014061212579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741977,0.0001830293,0.0003169825,0.0004549363,0.00007732469,0.0001122204,0.0004783344,0.0001667603,0.00001730806],"category_scores_gemma":[0.00006709494,0.0001880967,0.00004595351,0.000914524,0.00003557947,0.001184344,0.00004723258,0.0006639702,0.000004165671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338486,"about_ca_system_score_gemma":0.0001120422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002413501,"about_ca_topic_score_gemma":0.00001463625,"domain_scores_codex":[0.9985971,0.00004700726,0.0007146376,0.0001445564,0.0002398481,0.0002567957],"domain_scores_gemma":[0.998752,0.0001478925,0.0003689005,0.0001296931,0.0005553788,0.00004611409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000027427,0.00006120691,0.01612851,0.0001321411,0.00002107147,0.000006278536,0.00028346,0.8956437,0.02946752,0.000009226435,0.00002685995,0.05819261],"study_design_scores_gemma":[0.001487005,0.00008122408,0.004645099,0.0003956449,0.00001247787,0.0000442036,0.0002021868,0.9298414,0.06231182,0.0002090328,0.0004883962,0.0002814883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5475792,0.0006774233,0.4512189,0.00001535495,0.0001567399,0.0001621153,0.000001088658,0.0001279759,0.00006119119],"genre_scores_gemma":[0.9655884,0.0001790483,0.03402304,0.00001632604,0.00009674155,0.00001260651,0.000007088606,0.00003874266,0.00003800371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4180092,"threshold_uncertainty_score":0.7670361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913934015","doi":"10.1109/jiot.2019.2896946","title":"Energy-Efficient Joint User-RB Association and Power Allocation for Uplink Hybrid NOMA-OMA","year":2019,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Telecommunications link; Maximization; Quality of service; Efficient energy use; Resource allocation; Joint (building); Swap (finance); Interference (communication); Bipartite graph; Single antenna interference cancellation","retraction":null,"screen_n_in":null,"score":{"opus":0.008565284392573232,"gpt":0.2151616427719079,"spread":0.2065963583793347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003204313,0.0001188941,0.0001972673,0.0001568575,0.00003232368,0.00005582074,0.0002850583,0.00008962103,0.00002593826],"category_scores_gemma":[0.00009846555,0.000117845,0.00007536987,0.00005513366,0.00002152434,0.0002528811,0.0000544369,0.0002716975,0.000006661488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00025817,"about_ca_system_score_gemma":0.00001139053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007002373,"about_ca_topic_score_gemma":8.022476e-7,"domain_scores_codex":[0.9991522,0.00001534911,0.000391833,0.0001055638,0.0001652624,0.000169721],"domain_scores_gemma":[0.9991353,0.0001115481,0.0003185029,0.0002158136,0.0001830863,0.00003578713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001569796,0.0002733955,0.0044109,0.0003085409,0.0008412238,0.000006399069,0.004183106,0.3575915,0.4944051,0.01972586,0.0269746,0.09112239],"study_design_scores_gemma":[0.0007103924,0.0001494371,0.0005376924,0.0002108232,0.00001580671,0.00005975401,0.000174183,0.5244012,0.464604,0.003262375,0.005640665,0.0002336979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6097392,0.0003246511,0.388648,0.0002868679,0.0005473009,0.00008578704,0.000001888191,0.0001238168,0.0002424148],"genre_scores_gemma":[0.9897243,0.0001712544,0.009658036,0.00006151641,0.00002271604,0.000009828862,0.000002832259,0.00002746945,0.000322064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379985,"threshold_uncertainty_score":0.4805581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317612801","doi":"10.1007/s12243-022-00938-3","title":"5G, 6G, and Beyond: Recent advances and future challenges","year":2023,"lang":"en","type":"article","venue":"Annals of Telecommunications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Wireless network; Wireless; Virtualization; Key (lock); Computer network; Telecommunications; Quality of service; Computer security; Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.06262771893285136,"gpt":0.3216281007963437,"spread":0.2590003818634924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001424371,0.0001088059,0.0001651451,0.0001742817,0.0001259059,0.00001073751,0.0004677835,0.00007969225,0.000008604306],"category_scores_gemma":[0.00006564864,0.0001133302,0.00002088652,0.0003504472,0.0001691422,0.0002262354,0.0002339227,0.0001969638,0.000007765768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005425439,"about_ca_system_score_gemma":0.000005734543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001202311,"about_ca_topic_score_gemma":0.00003697571,"domain_scores_codex":[0.9994203,0.00003370666,0.0002114129,0.0001068,0.00006879634,0.0001590198],"domain_scores_gemma":[0.9985834,0.0002143147,0.00005809105,0.001020785,0.00008547313,0.00003796643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001614251,0.00001838942,0.00009250679,0.00008109429,0.00003190241,1.633462e-7,0.0004874553,0.0009256594,0.000321621,0.01736757,0.001271763,0.9794003],"study_design_scores_gemma":[0.0001133193,0.00003539823,0.006810782,0.00003006228,0.000005359023,0.000003502579,0.003628918,0.001632696,0.004620401,0.01686372,0.9660631,0.0001927683],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02810286,0.8535306,0.0003036576,0.09451225,0.0001004262,0.0002925656,0.00004651178,0.002178384,0.02093271],"genre_scores_gemma":[0.2576254,0.7377721,0.004445519,0.00004567354,0.00001107886,0.00004926264,0.00001832058,0.00001597315,0.00001671061],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9792075,"threshold_uncertainty_score":0.4621473,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963291364","doi":"10.1109/glocom.2016.7842087","title":"Optimal Joint Power and Subcarrier Allocation for MC-NOMA Systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Subcarrier; Computer science; Resource allocation; Benchmark (surveying); Mathematical optimization; Computational complexity theory; Maximization; Noma; Throughput; Optimization problem; Resource management (computing); Convex optimization; Orthogonal frequency-division multiplexing; Algorithm; Distributed computing; Regular polygon; Wireless; Telecommunications link; Mathematics; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01503950357914238,"gpt":0.221151950516019,"spread":0.2061124469368766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005606522,0.00007355968,0.00008817434,0.00004878478,0.00003070282,0.00001500961,0.0001032147,0.00006145265,0.00001123764],"category_scores_gemma":[0.00004586861,0.00005154484,0.00001573514,0.00004010316,0.00003906603,0.0001430165,0.00003976551,0.00003075776,0.0000100306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004004846,"about_ca_system_score_gemma":0.00000335504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001645187,"about_ca_topic_score_gemma":0.00000135219,"domain_scores_codex":[0.9996274,0.000004481265,0.0001292663,0.00008676095,0.00003966175,0.0001124826],"domain_scores_gemma":[0.9995437,0.00006082693,0.00001879192,0.0003138662,0.0000408789,0.000021976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002700355,0.00003301043,0.0008485013,0.0002404351,0.0001472572,0.000001098096,0.0003422754,0.05198914,0.4260771,0.3846324,0.00888631,0.1267754],"study_design_scores_gemma":[0.002923472,0.0003162977,0.005133959,0.0003156617,0.00002462884,0.00003895921,0.002788121,0.232128,0.5784951,0.004542968,0.171843,0.00144977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1257623,0.0007518664,0.8705577,0.0004422217,0.0001012384,0.0002345983,0.000006725476,0.0009656782,0.001177731],"genre_scores_gemma":[0.9820564,0.0001913455,0.01718244,0.00000699776,0.000008348538,0.000120311,0.000001681621,0.00001912256,0.0004132982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8562942,"threshold_uncertainty_score":0.2101937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205439215","doi":"10.1109/tcomm.2022.3144986","title":"Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-Aided mmWave MIMO Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Canada Research Chairs","keywords":"Beamforming; MIMO; Relaxation (psychology); Telecommunications link; Computer science; Base station; Optimization problem; Mathematical optimization; Reduction (mathematics); Algorithm; Electronic engineering; Mathematics; Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05858524051798612,"gpt":0.2675568819341841,"spread":0.208971641416198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003514093,0.0001394715,0.0002206019,0.0005358837,0.0004766139,0.00001659871,0.0006261318,0.00003992189,0.00001191264],"category_scores_gemma":[0.00001489501,0.0001738553,0.00004201526,0.000651689,0.0001434461,0.0001481865,0.00002604814,0.000656666,0.000003153884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492503,"about_ca_system_score_gemma":0.00002689538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007723283,"about_ca_topic_score_gemma":0.00003468054,"domain_scores_codex":[0.9988199,0.0002092605,0.000468097,0.0001443958,0.0001637947,0.0001945567],"domain_scores_gemma":[0.9979724,0.000317566,0.0001006117,0.001524383,0.00004992379,0.00003516894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000987285,0.0001486712,0.000006024523,0.00002281682,0.00002374188,3.903817e-7,0.0003125491,0.9786575,0.01204029,0.000256436,0.00002172633,0.008499954],"study_design_scores_gemma":[0.0005396095,0.0001239235,0.00005258823,0.000082069,0.00002047874,0.0000390176,0.002343614,0.95398,0.04055847,0.0004075366,0.001600542,0.0002521355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02127979,0.001011258,0.9759942,0.0001414627,0.0001808111,0.0005209303,0.00006006399,0.0004538002,0.0003576509],"genre_scores_gemma":[0.9842314,0.002186593,0.01281631,0.000008591562,0.000001753354,0.0006700672,0.00001092516,0.00003315831,0.00004128004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9631779,"threshold_uncertainty_score":0.7089615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3212545822","doi":"10.1109/mvt.2021.3121647","title":"LiFi through Reconfigurable Intelligent Surfaces: A New Frontier for 6G?","year":2021,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council; Agence Nationale de la Recherche; Royal Society","keywords":"Computer science; Architecture; Telecommunications; Wireless; Visible light communication; Systems engineering; Enhanced Data Rates for GSM Evolution; Engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02313505657245289,"gpt":0.2548332762211803,"spread":0.2316982196487275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009393383,0.0003117302,0.0004606989,0.0002248467,0.0001076855,0.00003360457,0.0007421401,0.0006014471,0.0001004395],"category_scores_gemma":[0.0002314896,0.0003364583,0.0001281775,0.0009140157,0.0001873264,0.000206805,0.00009339683,0.0005489704,0.0002701527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317675,"about_ca_system_score_gemma":0.0000676619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004397006,"about_ca_topic_score_gemma":0.00005115087,"domain_scores_codex":[0.998488,0.00001825735,0.0004431027,0.0004203105,0.0001217031,0.0005086286],"domain_scores_gemma":[0.9980699,0.00008420448,0.00008048901,0.001515694,0.0001981994,0.00005153022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002774457,0.0001656853,0.0003054646,0.0002676569,0.0005685748,0.00009286826,0.0001856203,0.1931123,0.411048,0.02328689,0.1007812,0.270158],"study_design_scores_gemma":[0.0003491874,0.0000363754,0.00000951869,0.00005310908,0.00001875993,0.00002726342,0.0001662796,0.009594484,0.530161,0.02697705,0.4323293,0.0002777299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03629577,0.02682621,0.9193869,0.005530728,0.0008878582,0.0006392781,0.00003413047,0.006446055,0.003953105],"genre_scores_gemma":[0.6242051,0.01267293,0.3549086,0.0002598332,0.0001028745,0.0004914413,0.0001102392,0.000229339,0.007019669],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5879093,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2974440178","doi":"10.1109/access.2019.2942113","title":"Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-<inline-formula> <tex-math notation=\"LaTeX\">$m$ </tex-math></inline-formula> Fading Channels","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Telecommunications link; Noma; Nakagami distribution; Fading; Phase-shift keying; Computer science; Bit error rate; Electronic engineering; Single antenna interference cancellation; Wireless; Telecommunications; Engineering; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.1223888945089679,"gpt":0.4609132956059768,"spread":0.3385244010970089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001236499,0.0008136154,0.001817589,0.003024826,0.0004346446,0.001237952,0.004354731,0.0004151745,0.0005277009],"category_scores_gemma":[0.0002807083,0.0007596704,0.0005888562,0.003538199,0.0001256934,0.005399121,0.001041583,0.000873287,0.00008909302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964609,"about_ca_system_score_gemma":0.0000812436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001640282,"about_ca_topic_score_gemma":0.00002971762,"domain_scores_codex":[0.9953767,0.0001025629,0.002011344,0.0007191427,0.0008682498,0.0009219919],"domain_scores_gemma":[0.9950063,0.000805036,0.001362537,0.0019037,0.0006756393,0.0002468232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001321207,0.0001536717,0.08194357,0.0008935037,0.001685259,0.000006504632,0.0003663116,0.8736268,0.02715845,0.001245474,0.0009188439,0.01186948],"study_design_scores_gemma":[0.001396007,0.00003502088,0.08796515,0.0008361248,0.0003845478,0.00001306017,0.0002151816,0.8797491,0.01640995,0.0007807423,0.01095859,0.001256578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940695,0.01030589,0.04445348,0.00007124031,0.001189652,0.001683219,0.0002186513,0.0006353766,0.0007474823],"genre_scores_gemma":[0.9787629,0.01709145,0.002781962,0.00006766248,0.0001872347,0.0003403695,0.0001983652,0.0001932506,0.0003767768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04167152,"threshold_uncertainty_score":0.9997988,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}