{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":170,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":170,"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":"fb35a9de5b43","filters":{"venue":"Wireless networks"}},"results":[{"id":"W2483743257","doi":"10.1007/978-3-319-25130-1","title":"Mobile Electric Vehicles","year":2015,"lang":"en","type":"book","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Architecture; Grid; Smart grid; Telecommunications; Electrical engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005072337764696177,"gpt":0.187864587300976,"spread":0.1827922495362798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001216278,0.0005420287,0.0006109818,0.0001620313,0.00006494175,0.00007292374,0.0004355253,0.001087271,0.000100969],"category_scores_gemma":[0.000002458108,0.0005404261,0.0001627617,0.0002851675,0.00003376127,0.00008162567,0.0000539955,0.001511199,0.0001151175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914802,"about_ca_system_score_gemma":0.0002082984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002793466,"about_ca_topic_score_gemma":0.000004647852,"domain_scores_codex":[0.9982337,0.00002071441,0.0003812535,0.0003484748,0.0003333877,0.0006824059],"domain_scores_gemma":[0.9990825,0.00004295507,0.00008989286,0.0004656761,0.00009996315,0.000219033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005952291,0.000004961258,0.0000071966,0.0000655611,0.0001004975,0.00002292902,0.00003407582,0.1150639,0.00004417587,0.0004963095,0.7286624,0.1554921],"study_design_scores_gemma":[0.0002585121,0.0001210255,0.00001203137,0.0001160363,0.00006626336,0.00003025638,0.000002973325,0.3805604,0.00006421359,0.002792531,0.6152992,0.0006765049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002233909,0.08525199,0.004699134,0.00000645383,0.001674639,0.0008001172,0.00003212553,0.001905957,0.9033957],"genre_scores_gemma":[0.2157678,0.01274097,0.0002291161,0.0002602492,0.008743686,0.0002107983,0.0006777393,0.0008878657,0.7604818],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2654966,"threshold_uncertainty_score":0.9997047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205939983","doi":"10.1007/978-981-16-4963-9","title":"Federated Learning for Wireless Networks","year":2021,"lang":"en","type":"book","venue":"Wireless networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Federated Co-operatives (Canada); University of Waterloo","funders":"","keywords":"Computer science; Wireless network; Computer network; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02785782339966632,"gpt":0.2609927626595214,"spread":0.2331349392598551,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00083417,0.0008973147,0.001240423,0.0001880308,0.001470447,0.001374367,0.002315847,0.001120158,0.00009131867],"category_scores_gemma":[0.00005067972,0.0009786581,0.0005144819,0.0007095357,0.000153391,0.0003688508,0.001575154,0.002544953,0.00002648567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144784,"about_ca_system_score_gemma":0.0007593512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002875491,"about_ca_topic_score_gemma":0.0001251055,"domain_scores_codex":[0.9954748,0.0005396493,0.000964843,0.001441421,0.0004553544,0.001123922],"domain_scores_gemma":[0.9955254,0.001132929,0.000696124,0.001402059,0.0009189658,0.0003245477],"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":[0.00003460978,0.00008292345,0.00002483588,0.00008107755,0.0003225556,0.00005541865,0.0001870957,0.09057584,0.00001355843,0.09150638,0.1662669,0.6508488],"study_design_scores_gemma":[0.0005633693,0.00007176611,0.00001172587,0.0007064392,0.00003942485,0.00001742414,0.000009950211,0.7496918,0.000008379273,0.0001889049,0.2478577,0.0008330524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00002214527,0.01108644,0.9327435,0.0004388204,0.001988704,0.0008424122,0.000003206111,0.0007281755,0.05214658],"genre_scores_gemma":[0.106324,0.03003328,0.003718645,0.002310386,0.004750872,0.0006287979,0.002166891,0.0004163789,0.8496507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9290249,"threshold_uncertainty_score":0.9998295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3098808736","doi":"10.1007/978-3-030-56827-6","title":"The Next Generation Vehicular Networks, Modeling, Algorithm and Applications","year":2020,"lang":"en","type":"book","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01816584312844528,"gpt":0.1981325286056831,"spread":0.1799666854772378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003256581,0.0008258723,0.0007078885,0.00006567381,0.0006394984,0.0005656127,0.0006273829,0.001110638,0.00001375524],"category_scores_gemma":[0.000004777015,0.0007582006,0.0002356963,0.0002521411,0.0001592363,0.0001734898,0.0002172801,0.001979881,0.00004314404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795163,"about_ca_system_score_gemma":0.000107225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006560753,"about_ca_topic_score_gemma":0.00006617215,"domain_scores_codex":[0.9970438,0.00008879764,0.0007525196,0.0007810922,0.0004325181,0.0009013009],"domain_scores_gemma":[0.9982527,0.000156274,0.0001686478,0.000914468,0.0001241153,0.0003837759],"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":[0.000002631524,0.000004478114,4.689526e-7,0.00003263618,0.0001955118,0.00001490969,0.00001573699,0.7666507,0.000002314227,0.001304898,0.06424838,0.1675273],"study_design_scores_gemma":[0.000171759,0.00001471542,4.159566e-7,0.00008765341,0.0001399904,0.00002099619,0.000005448098,0.7039179,6.207679e-7,0.0002775946,0.2948154,0.0005475156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00002063014,0.084457,0.9045694,0.00009996212,0.00100177,0.001314588,0.00002033037,0.0007828362,0.007733474],"genre_scores_gemma":[0.07613872,0.5444608,0.01315995,0.003256226,0.1667248,0.007597032,0.01853356,0.005252117,0.1648767],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8914095,"threshold_uncertainty_score":0.9994869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2404566166","doi":"10.1007/978-3-319-24717-5","title":"Security and Privacy for Mobile Healthcare Networks","year":2015,"lang":"en","type":"book","venue":"Wireless networks","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Health care; Computer security; Architecture; Internet privacy; State (computer science); Mobile device; World Wide Web; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.0265558254821044,"gpt":0.2697304731818587,"spread":0.2431746476997543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009804836,0.0006517352,0.001139375,0.0001629338,0.0002733033,0.0004718631,0.001282471,0.001141499,0.000007362582],"category_scores_gemma":[0.00002659894,0.0006904666,0.000247803,0.0002243874,0.0001284659,0.0005049933,0.0008928666,0.001071939,0.00001667905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004156721,"about_ca_system_score_gemma":0.0007052679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000544756,"about_ca_topic_score_gemma":0.0002045787,"domain_scores_codex":[0.9964186,0.0002351532,0.000710181,0.001311268,0.0004914156,0.0008334102],"domain_scores_gemma":[0.9960812,0.0007515767,0.0006621815,0.00130945,0.000667839,0.0005277991],"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":[0.00006795557,0.00008801714,0.00009301607,0.000547988,0.0002042896,0.00004028202,0.001266465,0.001742984,2.592874e-7,0.009693787,0.3660313,0.6202236],"study_design_scores_gemma":[0.0008770873,0.0002740143,0.00001110848,0.0007109093,0.000038509,0.00008255326,0.00002644919,0.5486674,7.967993e-7,0.008000114,0.440461,0.000850065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001726944,0.01974826,0.9575702,0.0005330926,0.004175167,0.004143665,0.0001117366,0.0008037535,0.01274144],"genre_scores_gemma":[0.8194607,0.002836103,0.002128464,0.002476434,0.01281141,0.003636019,0.001254943,0.0005099848,0.1548859],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9554417,"threshold_uncertainty_score":0.9995546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2286951725","doi":"10.1007/978-3-319-58721-9","title":"Link-Layer Cooperative Communication in Vehicular Networks","year":2017,"lang":"en","type":"book","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Layer (electronics); Vehicular communication systems; Computer science; Link (geometry); Vehicular ad hoc network; Telecommunications; Materials science; Wireless ad hoc network; Nanotechnology; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.01196230605158559,"gpt":0.2227172809236078,"spread":0.2107549748720222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0008078188,0.001216912,0.001582211,0.0002588115,0.0003973968,0.0004148779,0.001948655,0.002757901,0.0001306681],"category_scores_gemma":[0.00002395882,0.001362177,0.0003613932,0.0002290128,0.0003355846,0.0003596701,0.0004612789,0.004970836,0.0001486079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009605729,"about_ca_system_score_gemma":0.0002111661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004087803,"about_ca_topic_score_gemma":0.001275166,"domain_scores_codex":[0.995916,0.0002728817,0.001091514,0.0008504855,0.0004949609,0.00137415],"domain_scores_gemma":[0.9956931,0.0003257056,0.0004140294,0.003044462,0.0002015861,0.0003211016],"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":[0.00002116916,0.00002096488,0.00004806016,0.00007665602,0.0002506837,0.0001656154,0.00009185243,0.8912403,0.000002140314,0.00103547,0.08801202,0.01903504],"study_design_scores_gemma":[0.0007524021,0.00002974902,0.0001560504,0.001947512,0.0001035078,0.00002321204,0.000006350758,0.8414161,0.000003682507,0.0002328499,0.1541729,0.001155687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002478611,0.1552462,0.09714944,0.0004276315,0.006751846,0.005318089,0.00009024556,0.00296816,0.7295698],"genre_scores_gemma":[0.7362484,0.045081,0.0004999352,0.0004606717,0.007364659,0.0006484833,0.004702271,0.001429544,0.203565],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7337698,"threshold_uncertainty_score":0.9988828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2568033804","doi":"10.1007/978-3-319-50502-2","title":"Sequential Learning and Decision-Making in Wireless Resource Management","year":2016,"lang":"en","type":"book","venue":"Wireless networks","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Resource (disambiguation); Wireless; Resource management (computing); Knowledge management; Telecommunications; Distributed computing; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.006708088672292138,"gpt":0.2307434584041214,"spread":0.2240353697318293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005663609,0.0005661255,0.0006668607,0.0004007715,0.0002952707,0.0005195942,0.0009530973,0.0006736977,0.00004177032],"category_scores_gemma":[0.000007813283,0.0005235609,0.00016214,0.0004233268,0.0001340746,0.0002495887,0.001157696,0.001195116,0.00003720333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003555647,"about_ca_system_score_gemma":0.00006873419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003427695,"about_ca_topic_score_gemma":0.00002466164,"domain_scores_codex":[0.9964766,0.0001444618,0.0006966591,0.001250425,0.0006100023,0.0008218879],"domain_scores_gemma":[0.998136,0.0005122101,0.0004102003,0.0006780573,0.00007158849,0.0001919794],"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":[0.00004135312,0.000018754,0.00002298271,0.0000347796,0.00006266249,0.0004725261,0.00003685589,0.008539313,4.402036e-7,0.02278878,0.01049501,0.9574866],"study_design_scores_gemma":[0.001034717,0.00007560441,0.00006758843,0.003704684,0.00003551323,0.00009100397,0.00002371555,0.659529,0.000001007829,0.01031039,0.3241299,0.0009968642],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001296748,0.001014922,0.8802097,0.00005324609,0.001079902,0.000363434,0.000005745099,0.0003389276,0.1168044],"genre_scores_gemma":[0.3842123,0.01209726,0.02911493,0.001203713,0.006852446,0.0002607377,0.0002236231,0.0006497082,0.5653853],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9564897,"threshold_uncertainty_score":0.9997216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810105977","doi":"10.1007/978-3-319-91328-5","title":"Wireless Communications for Power Substations: RF Characterization and Modeling","year":2018,"lang":"en","type":"book","venue":"Wireless networks","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; McGill University; Hydro-Québec","funders":"","keywords":"Computer science; Wireless; Software deployment; Identification (biology); Wireless sensor network; Characterization (materials science); Power (physics); Noise (video); ISM band; Electrical engineering; Telecommunications; Electronic engineering; Computer network; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02642307808203759,"gpt":0.250395648468495,"spread":0.2239725703864575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002348026,0.0003841381,0.0004338698,0.0001726027,0.0003646302,0.0001277477,0.0007550715,0.0004877088,0.00002221789],"category_scores_gemma":[0.00001056324,0.0004459201,0.0001070957,0.000132638,0.000155496,0.0002054332,0.0002094106,0.000498719,0.00001343432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136476,"about_ca_system_score_gemma":0.00008140596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003111028,"about_ca_topic_score_gemma":0.00006047568,"domain_scores_codex":[0.9986533,0.00003837914,0.0005576215,0.0002941469,0.000121151,0.000335414],"domain_scores_gemma":[0.9975817,0.0002430832,0.0001470923,0.001640891,0.0002729589,0.0001142768],"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":[0.0002809956,0.0006469818,0.000175586,0.002425606,0.002891367,0.000007697463,0.006646324,0.1974282,0.002462738,0.2179966,0.2043232,0.3647146],"study_design_scores_gemma":[0.0002625841,0.00002086821,0.00001774934,0.0003475165,0.0000753225,0.000002859631,0.00001603967,0.8711025,0.000004524059,0.0006108105,0.1271227,0.0004164707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004049522,0.007295194,0.9594084,0.0001837538,0.0008265479,0.00126765,0.0004190842,0.0007069395,0.02584289],"genre_scores_gemma":[0.7827086,0.06612683,0.008922257,0.000371271,0.001759971,0.00173002,0.02563291,0.0009730195,0.1117752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9504862,"threshold_uncertainty_score":0.9997993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885335734","doi":"10.1007/978-3-030-01731-6_2","title":"Learning-Based Rogue Edge Detection in VANETs with Ambient Radio Signals","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Spoofing attack; Enhanced Data Rates for GSM Evolution; Computer network; Node (physics); Edge computing; Vehicular ad hoc network; Wireless ad hoc network; Real-time computing; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.006129398983855332,"gpt":0.1786363547151625,"spread":0.1725069557313072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0004178479,0.001011358,0.001017497,0.0003804662,0.0001367293,0.0001190333,0.0004053347,0.001319364,0.0004549876],"category_scores_gemma":[0.000006486139,0.001044784,0.000231023,0.0002178955,0.0001889251,0.0001235974,0.00006634358,0.002441641,0.0002022033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005880129,"about_ca_system_score_gemma":0.00007402236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003043031,"about_ca_topic_score_gemma":0.001873448,"domain_scores_codex":[0.996761,0.00008860429,0.0007069431,0.0008357106,0.0005439185,0.001063837],"domain_scores_gemma":[0.9984618,0.00015826,0.0002590364,0.0007064067,0.0001227927,0.0002916535],"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":[0.0001049877,0.00001908627,0.00004237375,0.0001034527,0.0001711028,0.0002382134,0.0000701041,0.9803772,0.00004387221,0.00005267888,0.001906431,0.01687051],"study_design_scores_gemma":[0.0009965916,0.0003670603,0.00007846903,0.001375397,0.0001118774,0.00004644445,0.000007185665,0.9428567,0.0002380029,0.00006895618,0.0527112,0.001142067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1133126,0.01975236,0.6815954,0.0001013429,0.008940953,0.007457178,0.00007138892,0.007791955,0.1609768],"genre_scores_gemma":[0.9801692,0.0004813065,0.0001361707,0.00007448294,0.002061403,0.000112782,0.0003134688,0.0006195245,0.0160317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8668565,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034053419","doi":"10.1007/978-981-15-4374-6","title":"Data Security in Cloud Storage","year":2020,"lang":"en","type":"book","venue":"Wireless networks","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Cloud storage; Cloud computing security; Data security; Computer security; Operating system; Encryption","retraction":null,"screen_n_in":null,"score":{"opus":0.03249442825375061,"gpt":0.2577848118901411,"spread":0.2252903836363905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0005722937,0.0005393642,0.0007847397,0.0001612597,0.0001449581,0.0003420146,0.00902608,0.0007555588,0.00004323238],"category_scores_gemma":[0.00006017878,0.0006381688,0.0001187202,0.0006259594,0.0001527716,0.0006603992,0.00802844,0.002426838,0.0002380667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003925567,"about_ca_system_score_gemma":0.0007698192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007558714,"about_ca_topic_score_gemma":0.001773327,"domain_scores_codex":[0.9959612,0.000199482,0.0006805746,0.001818213,0.0006013904,0.0007391144],"domain_scores_gemma":[0.9938348,0.0003120942,0.0003312138,0.005153274,0.00006117021,0.0003074704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006617956,0.00006636064,0.00001236768,0.00006238176,0.00003955209,0.0003952123,0.0004131566,0.001113801,2.134215e-7,0.1209361,0.8724309,0.004523361],"study_design_scores_gemma":[0.0002146207,0.00001726035,0.00001391626,0.0001748873,0.00001444554,0.00001272487,0.000003577961,0.5449129,1.102533e-7,0.006818864,0.4473938,0.0004228596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00004988929,0.006939854,0.8681661,0.004907074,0.00770182,0.001458127,0.003645405,0.001332748,0.105799],"genre_scores_gemma":[0.2436081,0.01770573,0.03667482,0.02809924,0.0787871,0.000592474,0.1520316,0.002073951,0.4404269],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8314913,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048196304","doi":"10.1007/978-3-030-51229-3_7","title":"Safety-Aware and Distributed Beacon Congestion Control","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Beacon; Channel (broadcasting); Real-time computing; Network congestion; Computer network; Reliability (semiconductor); Heuristic; Power (physics); Network packet","retraction":null,"screen_n_in":null,"score":{"opus":0.005199982348347943,"gpt":0.1681500278846798,"spread":0.1629500455363319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001415496,0.0007707769,0.0009983926,0.00006908119,0.0001188611,0.0001014699,0.0002479953,0.00114561,0.0001293378],"category_scores_gemma":[0.000007424945,0.0008638238,0.0001851852,0.00006386284,0.0001374972,0.00009936644,0.00008713303,0.001521584,0.00006625359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002441,"about_ca_system_score_gemma":0.00002900388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000427697,"about_ca_topic_score_gemma":0.00004381193,"domain_scores_codex":[0.9979103,0.00003425193,0.0005854432,0.000599064,0.0002902967,0.0005807002],"domain_scores_gemma":[0.9987553,0.0001775721,0.0001548512,0.0004391443,0.00007982901,0.0003933267],"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":[0.00007078621,0.000004048885,0.00002060265,0.0001216197,0.0003991187,0.0001684487,0.00001523506,0.9480349,0.0000054554,0.009044887,0.01382248,0.02829239],"study_design_scores_gemma":[0.001021595,0.0000468857,0.0001059108,0.0004857853,0.0002596195,0.00003992364,0.000003461455,0.8580722,0.000001279303,0.0003810388,0.1388242,0.0007581562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003634325,0.03199571,0.8619358,0.0009251382,0.004439744,0.0029062,0.001484191,0.003997888,0.09195191],"genre_scores_gemma":[0.9813399,0.004758508,0.00005501993,0.0003132549,0.002366584,0.00004504619,0.003336282,0.0004466347,0.007338773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809765,"threshold_uncertainty_score":0.9993812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2728276299","doi":"10.1007/978-3-319-57690-9_2","title":"Self-Interference-Cancellation in Full-Duplex Systems","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Single antenna interference cancellation; Computer science; Transmitter; Precoding; Interference (communication); Electronic engineering; Telecommunications; Channel (broadcasting); MIMO; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01924536975512176,"gpt":0.2175768724520868,"spread":0.198331502696965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002274969,0.0007206231,0.0009079314,0.0002922943,0.0002020396,0.0002637109,0.001334372,0.001107907,0.0001327488],"category_scores_gemma":[0.00000828966,0.0008374813,0.0001795125,0.0000506626,0.0001190911,0.0002039555,0.0002267823,0.001607454,0.0002396178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006107494,"about_ca_system_score_gemma":0.0000726674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007516636,"about_ca_topic_score_gemma":0.001238047,"domain_scores_codex":[0.997687,0.00004239544,0.0008631945,0.0005207048,0.0002999578,0.0005867539],"domain_scores_gemma":[0.9969812,0.000184779,0.0003708363,0.002186368,0.0001223189,0.0001544973],"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":[0.00001285484,0.00001406302,0.00003141424,0.0002614959,0.0001313578,0.00001888444,0.0001603919,0.9712774,0.00001882252,0.01799407,0.002596708,0.007482581],"study_design_scores_gemma":[0.000345272,0.00002267205,0.00005749724,0.001511734,0.00004829371,0.00001449659,0.00001250932,0.9127176,0.000002674437,0.0000221205,0.08451062,0.0007345292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01239101,0.03897401,0.01838171,0.0001587837,0.008325333,0.003138288,0.0001630001,0.003638639,0.9148292],"genre_scores_gemma":[0.9057753,0.0130855,0.0002865333,0.00001262232,0.001026443,0.0001857813,0.0003684523,0.0003590932,0.07890029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8933843,"threshold_uncertainty_score":0.9994076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4243495084","doi":"10.1007/978-3-319-58721-9_1","title":"Introduction","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software deployment; Vehicular ad hoc network; Intelligent transportation system; Wireless; Dedicated short-range communications; Wireless ad hoc network; The Internet; Vehicle-to-vehicle; Toll; Electronic toll collection; Telecommunications; Transport engineering; Computer network; Engineering; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.007159272803221065,"gpt":0.1866383328357565,"spread":0.1794790600325354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001860257,0.0006513993,0.0006759042,0.0001101334,0.000194566,0.0001636147,0.0005517763,0.001108469,0.0008172862],"category_scores_gemma":[0.000005213418,0.0007310798,0.0002548549,0.00001706666,0.0001333064,0.0001511684,0.00011082,0.001495095,0.0006574558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119501,"about_ca_system_score_gemma":0.00002488691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003817453,"about_ca_topic_score_gemma":0.00007018069,"domain_scores_codex":[0.9981151,0.0000117781,0.0004080783,0.0005417612,0.0003018795,0.0006214386],"domain_scores_gemma":[0.9980982,0.00003191597,0.0001817505,0.001428052,0.00006903932,0.000191048],"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":[0.000006528051,0.000002724845,0.000001384489,0.00004548959,0.0001739768,0.00005605766,0.000009273841,0.7143591,0.000004447819,0.01157362,0.2133921,0.06037525],"study_design_scores_gemma":[0.0001250735,0.00001159936,0.00000692272,0.0001605827,0.00007008664,0.000034344,4.699572e-7,0.4283581,0.000004506338,0.0007384931,0.5700025,0.0004873267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008345798,0.009082152,0.01997959,0.0002142916,0.009524269,0.0005533305,0.00002064779,0.001578513,0.9589638],"genre_scores_gemma":[0.06229066,0.007712599,0.0002158703,0.00007980856,0.04135272,0.00004771651,0.0006660805,0.0007934717,0.8868411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3566104,"threshold_uncertainty_score":0.999514,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298387651","doi":"10.1007/978-3-030-98064-1_13","title":"Automated Data-Driven System for Compliance Monitoring","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Workload; Scalability; Data quality; Risk analysis (engineering); Key (lock); Quality (philosophy); Compliance (psychology); Systems engineering; Computer security; Database; Engineering; Operations management; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.06784197087289322,"gpt":0.2797956660142796,"spread":0.2119536951413863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001432439,0.0003396711,0.0004654423,0.00007925219,0.0002310905,0.00005413436,0.001432569,0.0002403206,0.00004955495],"category_scores_gemma":[0.000002445678,0.0004019351,0.00009898638,0.00005036926,0.00003061214,0.0001081178,0.0005350137,0.000603379,0.00002312096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000243755,"about_ca_system_score_gemma":0.00002463964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007521823,"about_ca_topic_score_gemma":0.00000664204,"domain_scores_codex":[0.9987738,0.00001420854,0.0004121572,0.0003431353,0.0001507198,0.0003059533],"domain_scores_gemma":[0.997561,0.0001470876,0.0001258183,0.002028602,0.00005479885,0.00008269989],"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":[0.00002519964,0.00001685921,0.00001926526,0.0009411827,0.0005220111,0.00002331498,0.00004750028,0.8944605,0.00001870526,0.03292353,0.04482787,0.02617405],"study_design_scores_gemma":[0.0001585139,0.000008201715,0.000008368634,0.0005317404,0.00005398348,0.000005459774,0.000006962683,0.6944452,0.000001938008,0.00001298043,0.3044856,0.0002810009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003082849,0.06319158,0.118214,0.0001381489,0.02108276,0.004233839,0.005086659,0.02463688,0.7631078],"genre_scores_gemma":[0.9028515,0.01028876,0.01039189,0.00003542933,0.004715838,0.0009304873,0.01236292,0.00129186,0.05713131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9025432,"threshold_uncertainty_score":0.9998432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317040179","doi":"10.1007/978-3-031-24185-7_2","title":"Literature Review of Security in Smart Home Network","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Spoofing attack; Computer science; Computer security; Terminal (telecommunication); Authentication (law); Side channel attack; Wireless network; Channel (broadcasting); Section (typography); Computer network; Network security; Wireless; Telecommunications; Cryptography","retraction":null,"screen_n_in":null,"score":{"opus":0.007382341188075309,"gpt":0.2247542209195681,"spread":0.2173718797314927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006675354,0.0004835333,0.001013558,0.0002242576,0.00009154109,0.00004606799,0.001472865,0.0004808017,0.0001939274],"category_scores_gemma":[0.00001323358,0.000522278,0.0003000961,0.0005924546,0.00007323684,0.0003384919,0.00104875,0.001995358,0.000005418291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935232,"about_ca_system_score_gemma":0.00007886552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005502495,"about_ca_topic_score_gemma":0.00003074671,"domain_scores_codex":[0.9972685,0.0001188628,0.0008481368,0.000811758,0.0005033601,0.0004493718],"domain_scores_gemma":[0.9974667,0.0001572211,0.000712081,0.001399513,0.0001682976,0.00009612068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003558478,0.00005481296,0.00002791836,0.005760312,0.00007750953,0.0005861847,0.0002153665,0.002791156,0.000001007559,0.7927413,0.03386898,0.1638399],"study_design_scores_gemma":[0.0002827083,0.0002220482,0.00001837907,0.05736493,0.0000337669,0.0001416043,0.000001401521,0.01208829,0.00001061085,0.1165729,0.812058,0.001205377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004003006,0.5433056,0.2992178,0.0003912632,0.00271217,0.001797846,0.0000495455,0.001131416,0.1513903],"genre_scores_gemma":[0.003492575,0.9489117,0.01288654,0.003644009,0.001143694,0.0003638623,0.0002631899,0.0002191601,0.02907527],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7781889,"threshold_uncertainty_score":0.9997229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362570567","doi":"10.1007/978-3-031-26963-9","title":"Advanced Wireless Technologies for Industrial Network Systems","year":2023,"lang":"en","type":"book","venue":"Wireless networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Wireless network; Wireless; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02464487713015252,"gpt":0.2318633536873477,"spread":0.2072184765571952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001309827,0.001792404,0.00253844,0.0006017251,0.0008669685,0.0009945453,0.006130258,0.004671466,0.000006071138],"category_scores_gemma":[0.00009878886,0.00184707,0.0008183122,0.001839695,0.0004786919,0.0004786294,0.002094855,0.003005229,0.00009812291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008658269,"about_ca_system_score_gemma":0.0008083201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187367,"about_ca_topic_score_gemma":0.0000537251,"domain_scores_codex":[0.9905065,0.0002527234,0.001905086,0.002951232,0.00128591,0.003098575],"domain_scores_gemma":[0.9912881,0.002514479,0.001743669,0.003560674,0.0005535902,0.0003394633],"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":[0.00005047891,0.00003257965,0.000007266387,0.00009745866,0.0001977285,0.00007521576,0.00002180126,0.567731,0.000001729941,0.1436507,0.20542,0.08271399],"study_design_scores_gemma":[0.001381279,0.0002252005,0.000001587549,0.002225574,0.00009815155,0.00002606063,0.00003337981,0.7548506,0.000009018238,0.002620383,0.2368003,0.001728515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00008883923,0.008769291,0.9088233,0.0004384515,0.03566809,0.004704781,0.00008496411,0.01405804,0.02736425],"genre_scores_gemma":[0.01446193,0.005026864,0.006970985,0.0002942953,0.01717094,0.00337962,0.001509582,0.001418424,0.9497674],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9224031,"threshold_uncertainty_score":0.9994822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209275463","doi":"10.1007/978-3-030-87136-9_4","title":"Dynamic VNF Resource Scaling and Migration: A Machine Learning Approach","year":2021,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scaling; Resource (disambiguation); Distributed computing; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.0113441275927419,"gpt":0.2061103806195461,"spread":0.1947662530268042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003948265,0.000509013,0.0005757624,0.0001585457,0.0003760433,0.0005842406,0.0007621488,0.0005573238,0.00002997099],"category_scores_gemma":[0.00001985772,0.0005371157,0.0001533827,0.0001362442,0.0001208499,0.0001875524,0.0008523429,0.001756547,0.0000129278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024299,"about_ca_system_score_gemma":0.00006538216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001093125,"about_ca_topic_score_gemma":0.00001308841,"domain_scores_codex":[0.9974734,0.00009405141,0.0005200822,0.0009279143,0.000524035,0.0004605847],"domain_scores_gemma":[0.9983292,0.0001801275,0.0004369981,0.0007924697,0.00009866111,0.0001625409],"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":[0.00000467523,0.000005376708,0.00004322334,0.00006357297,0.00007125116,0.00004490121,0.0002258937,0.922647,0.000001660374,0.0506903,0.0002009621,0.0260012],"study_design_scores_gemma":[0.0002103808,0.0000412948,0.00001321402,0.0003681463,0.00003712989,0.00007515722,0.00001340464,0.9247528,5.80558e-7,0.0001086617,0.07388253,0.0004966874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00003126431,0.004865258,0.8929124,0.0001668616,0.0002413142,0.000214567,9.617913e-7,0.000290953,0.1012764],"genre_scores_gemma":[0.05923107,0.003963906,0.05656758,0.000585201,0.0006968683,0.00003126206,0.000808664,0.0002717051,0.8778437],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8363449,"threshold_uncertainty_score":0.9997081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2738540604","doi":"10.1007/978-3-319-58721-9_2","title":"Background and Literature Review","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Access control; Transmission (telecommunications); Channel (broadcasting); Wireless; Wireless network; Control channel; Control (management); Telecommunications; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.0135573993421415,"gpt":0.2236117227631117,"spread":0.2100543234209702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002284089,0.0007672394,0.001000234,0.00007248828,0.0001680997,0.0003017356,0.0004719938,0.001091897,0.0002324962],"category_scores_gemma":[0.000004161154,0.0007698759,0.0002346069,0.00002726782,0.0001378512,0.0001822253,0.0001604705,0.001735434,0.0001458156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008793658,"about_ca_system_score_gemma":0.0000203892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000121311,"about_ca_topic_score_gemma":0.0000353289,"domain_scores_codex":[0.9981846,0.00001915931,0.0004442963,0.0005194847,0.0002685555,0.0005639043],"domain_scores_gemma":[0.9982811,0.00006108997,0.000186891,0.001130569,0.00007834654,0.0002620202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000162442,0.000009630569,0.000006074622,0.009752473,0.0008270843,0.00195884,0.00005753194,0.105985,0.00000282292,0.03058472,0.6438825,0.2069172],"study_design_scores_gemma":[0.0002145558,0.0000142164,0.000009168947,0.03949668,0.0002350471,0.0003254905,5.440498e-7,0.1601154,3.299068e-7,0.0006765912,0.797999,0.0009130178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001608158,0.6485924,0.000932982,0.00007234378,0.001013033,0.0004797511,0.00002937925,0.0003456547,0.3485184],"genre_scores_gemma":[0.001647933,0.7172086,0.0001077291,0.0003676966,0.002105874,0.00002972899,0.0003964437,0.0003187362,0.2778173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2060042,"threshold_uncertainty_score":0.9994752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3215726891","doi":"10.1007/978-3-030-88743-8","title":"Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions","year":2021,"lang":"en","type":"book","venue":"Wireless networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Internet of Things; Edge computing; Enhanced Data Rates for GSM Evolution; Distributed computing; Edge device; Computer architecture; Embedded system; Artificial intelligence; Operating system; Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.02611120450736464,"gpt":0.2397902243823551,"spread":0.2136790198749905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001026686,0.0004902515,0.0009043834,0.0002655184,0.0004972812,0.0004512346,0.0005157594,0.0005863441,0.000001896494],"category_scores_gemma":[0.00004599733,0.0005445364,0.000122704,0.0003834215,0.0002035814,0.0001398506,0.0009754132,0.001254042,0.00000296342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317452,"about_ca_system_score_gemma":0.0006653728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005491015,"about_ca_topic_score_gemma":0.00007026188,"domain_scores_codex":[0.9970245,0.0003541534,0.0005149188,0.001043385,0.0002425652,0.000820488],"domain_scores_gemma":[0.9975127,0.001323756,0.0002695134,0.000564459,0.000131157,0.0001984083],"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":[0.000130169,0.0003985633,0.004012638,0.0008402629,0.000308972,0.0009907049,0.002432015,0.07105697,0.0000728415,0.03132254,0.1206391,0.7677953],"study_design_scores_gemma":[0.001394558,0.00003528529,0.0009815275,0.0009656508,0.00002658269,0.0000357954,0.000005114809,0.9900236,0.000007352917,0.0009058838,0.005011644,0.0006070574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004593073,0.00466189,0.9793647,0.0003402285,0.004815307,0.0004424013,0.000001245717,0.0002524398,0.005528749],"genre_scores_gemma":[0.9151437,0.0005912584,0.03877252,0.004163397,0.01694036,0.00007522537,0.000263384,0.0003690035,0.02368121],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9405922,"threshold_uncertainty_score":0.9997006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2546754593","doi":"10.1007/978-3-319-47726-8","title":"Protocol Design and Analysis for Cooperative Wireless Networks","year":2016,"lang":"en","type":"book","venue":"Wireless networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; IBM (Canada); University of New Brunswick","funders":"","keywords":"Computer network; Computer science; Wireless network; Access control; Wireless; Protocol design; Layer (electronics); Media access control; Protocol (science); Telecommunications; Communications protocol; Chemistry; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.04454579431755454,"gpt":0.2949061879638797,"spread":0.2503603936463252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001258996,0.0009187844,0.001450971,0.0004156856,0.0008606636,0.0007149003,0.002353347,0.0008382315,0.00006089959],"category_scores_gemma":[0.00002842628,0.0007461101,0.0004343241,0.0009964473,0.0003363452,0.0004683443,0.00116538,0.0008780931,0.00001156973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036711,"about_ca_system_score_gemma":0.000481106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001337094,"about_ca_topic_score_gemma":0.00004238619,"domain_scores_codex":[0.9955745,0.000697942,0.0009473585,0.001482369,0.0003858241,0.0009119993],"domain_scores_gemma":[0.9942986,0.001860351,0.0007400468,0.001981796,0.0007695423,0.0003496472],"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":[0.0002534577,0.0001228316,0.00008449642,0.0001021699,0.00253943,0.00002069152,0.0003738874,0.09131286,0.00001097501,0.2269705,0.102456,0.5757528],"study_design_scores_gemma":[0.001195568,0.0001888519,0.0000342108,0.0004493777,0.0002415811,0.000005430224,0.000002533154,0.9007542,0.00001068531,0.0006679962,0.0955174,0.0009322314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000001053198,0.0006651299,0.9394245,0.0003231703,0.000289051,0.05089648,0.00001360523,0.0003229512,0.0080641],"genre_scores_gemma":[0.01028667,0.007055146,0.04157605,0.002670655,0.003905311,0.3890733,0.0005442309,0.000503047,0.5443856],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8978484,"threshold_uncertainty_score":0.999499,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4301221417","doi":"10.1007/978-3-030-98064-1_3","title":"Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Distributed computing","retraction":null,"screen_n_in":null,"score":{"opus":0.005420844746948299,"gpt":0.1915000416942273,"spread":0.186079196947279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002766549,0.0003438438,0.0003814356,0.000243238,0.000244731,0.00002951651,0.000303196,0.0004150748,0.0007449282],"category_scores_gemma":[0.00000720025,0.0004195264,0.0001360148,0.0001551314,0.00006333966,0.00007506091,0.00008396636,0.0009579925,0.000007942744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004016173,"about_ca_system_score_gemma":0.00002683961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008467502,"about_ca_topic_score_gemma":0.00002417262,"domain_scores_codex":[0.9985047,0.00006497891,0.0005995684,0.0002842869,0.0003139918,0.0002324891],"domain_scores_gemma":[0.9983152,0.0002513647,0.0003933065,0.000855983,0.0001260327,0.00005815809],"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":[0.00007002919,0.000008456519,0.000002626437,0.00003205078,0.00004889939,6.02901e-7,0.00005622494,0.9573971,0.000006282196,0.02208183,0.000388457,0.01990747],"study_design_scores_gemma":[0.0002982174,0.00007711341,0.0000611357,0.0002374959,0.0000672509,8.562223e-7,0.0000143333,0.9810045,0.000003173648,0.0002051013,0.01768862,0.0003421589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005219889,0.001138251,0.8336073,0.00004414313,0.0002116455,0.0007268515,0.000004914122,0.0003147449,0.1639],"genre_scores_gemma":[0.9698535,0.003376276,0.001382969,0.00006013593,0.0001030363,0.000185291,0.004021452,0.0002134235,0.02080389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9698013,"threshold_uncertainty_score":0.9998257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312671479","doi":"10.1007/978-3-031-16822-2","title":"Energy Efficient Computation Offloading in Mobile Edge Computing","year":2022,"lang":"en","type":"book","venue":"Wireless networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Windsor","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundo para o Desenvolvimento das Ciências e da Tecnologia; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computation offloading; Computer science; Mobile edge computing; Computation; Edge computing; Enhanced Data Rates for GSM Evolution; Distributed computing; Algorithm; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.009689279470298929,"gpt":0.2232748868552114,"spread":0.2135856073849125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008524566,0.0005995081,0.0008239764,0.0005767606,0.0005369618,0.0003299009,0.001662911,0.0004189494,0.00001271176],"category_scores_gemma":[0.000006250797,0.0007100563,0.0002491722,0.0008364435,0.00007339387,0.0001306862,0.002037111,0.001347939,0.00001989982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015963,"about_ca_system_score_gemma":0.0004141169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004693771,"about_ca_topic_score_gemma":0.000008004865,"domain_scores_codex":[0.9958918,0.0002658882,0.0009350334,0.001223005,0.0006689992,0.001015237],"domain_scores_gemma":[0.9978762,0.0005979969,0.0006007787,0.0006651826,0.00009898256,0.0001608561],"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":[0.000005002725,0.00005918043,0.00002364314,0.00003912145,0.00002320327,0.0001089637,0.0005964936,0.6752566,0.000001508785,0.003325758,0.03360285,0.2869577],"study_design_scores_gemma":[0.0003759726,0.0000682111,0.00003135141,0.0003662924,0.00001054718,0.00002809438,0.00001198094,0.9006218,0.000003101586,0.0005074573,0.09732368,0.0006514551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001375645,0.00325811,0.9071578,0.00003060834,0.02397137,0.000411357,8.107417e-7,0.0005425253,0.06325178],"genre_scores_gemma":[0.7522267,0.0006644973,0.01683775,0.002810011,0.05055489,0.0003819275,0.001676285,0.0009555435,0.1738925],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8903201,"threshold_uncertainty_score":0.9995351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2474748388","doi":"10.1007/978-3-319-25130-1_3","title":"Mobility-Aware Coordinated EV Charging in VANET-Enhanced Smart Grid","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Vehicular ad hoc network; Smart grid; Electric vehicle; Grid; Transmission (telecommunications); Computer network; Charging station; Wireless ad hoc network; Power (physics); Telecommunications; Electrical engineering; Wireless; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009382125839628164,"gpt":0.199106639912678,"spread":0.1897245140730499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002274343,0.0006746257,0.000858315,0.0002105265,0.00006048906,0.00005537302,0.0003877755,0.00110973,0.0003749085],"category_scores_gemma":[0.000005126297,0.0007099087,0.0001450658,0.0001812839,0.00005960965,0.0001235864,0.00006266216,0.001923318,0.0000523589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565915,"about_ca_system_score_gemma":0.00006062998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003436395,"about_ca_topic_score_gemma":0.000143374,"domain_scores_codex":[0.997811,0.00002253045,0.0006130436,0.0005352875,0.0002876111,0.0007305612],"domain_scores_gemma":[0.9989354,0.00006110445,0.0001304825,0.0005407746,0.0001285047,0.000203719],"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":[0.00008404528,0.00002886732,0.0001664026,0.0004640469,0.0002907077,0.0001746499,0.0002373731,0.7643302,0.0002258778,0.005014276,0.06427587,0.1647077],"study_design_scores_gemma":[0.001301703,0.0001134934,0.0002372888,0.00125892,0.00007813573,0.00003161935,0.00002226929,0.8855543,0.0001919786,0.003247219,0.1061599,0.001803209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02163947,0.04065521,0.04763084,0.0001537495,0.01105849,0.003652618,0.0003002875,0.004016739,0.8708926],"genre_scores_gemma":[0.9654626,0.001445572,0.00005365855,0.00007989561,0.001564928,0.00004837613,0.0005432955,0.0003302187,0.03047148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438231,"threshold_uncertainty_score":0.9995352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317040029","doi":"10.1007/978-3-031-24185-7","title":"Security in Smart Home Networks","year":2023,"lang":"en","type":"book","venue":"Wireless networks","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer security; Computer science; Home automation; Internet privacy; Internet of Things; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02063003469513286,"gpt":0.2715192220630422,"spread":0.2508891873679093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002174015,0.0005052823,0.0007974341,0.000320368,0.0006803168,0.0002889724,0.001495196,0.002110645,0.0001745787],"category_scores_gemma":[0.0001691046,0.0005878151,0.0002493145,0.0008270437,0.0004981335,0.0003568655,0.0008135957,0.002446404,0.0002867325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008749132,"about_ca_system_score_gemma":0.000673634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00391489,"about_ca_topic_score_gemma":0.0589822,"domain_scores_codex":[0.9958941,0.0005437717,0.0006562856,0.0009196157,0.0007479964,0.001238221],"domain_scores_gemma":[0.9978437,0.0004496945,0.0003643633,0.0009120952,0.0001163882,0.0003137653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000161162,0.0001839639,0.001753428,0.0001986226,0.0001572769,0.0003490836,0.005131891,0.004976528,2.021989e-7,0.08148224,0.8617001,0.04390556],"study_design_scores_gemma":[0.0008828096,0.00007471956,0.001008884,0.001080418,0.00008127137,0.000003864027,0.0004767351,0.05035712,2.396113e-7,0.1256545,0.8187619,0.001617536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00170327,0.01204777,0.01160745,0.002368268,0.02692575,0.004734207,0.0002553439,0.003191104,0.9371668],"genre_scores_gemma":[0.2461823,0.03990184,0.00004099569,0.0008420344,0.02485394,0.0004955307,0.00261769,0.0004611835,0.6846045],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2525624,"threshold_uncertainty_score":0.999855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385259490","doi":"10.1007/978-3-031-32138-2","title":"Reinforcement Learning for Maritime Communications","year":2023,"lang":"en","type":"book","venue":"Wireless networks","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04308502144378271,"gpt":0.2714455483955304,"spread":0.2283605269517477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005704823,0.0003780889,0.0004575058,0.0002525797,0.0005495626,0.0003121093,0.002728172,0.0005574605,0.00001616424],"category_scores_gemma":[0.00004687687,0.0004377382,0.0002396053,0.0003357691,0.0001231076,0.0002852701,0.0009549519,0.000823456,0.0002270095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306943,"about_ca_system_score_gemma":0.0003602286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005549516,"about_ca_topic_score_gemma":0.00002799188,"domain_scores_codex":[0.9975541,0.0001203692,0.0006993511,0.0007005436,0.0004316197,0.0004939847],"domain_scores_gemma":[0.9955397,0.001120636,0.0006262542,0.002232785,0.0003449248,0.0001357619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001001657,0.00002587096,0.00002384361,0.00009901947,0.0001177515,0.000002872189,0.0001749703,0.380474,0.000007621728,0.4064962,0.1241613,0.08840651],"study_design_scores_gemma":[0.0001821313,0.00004603979,0.00005425837,0.0002300209,0.0000246969,0.000001820802,0.000003967873,0.8121809,0.000002828377,0.006495113,0.180411,0.0003671983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[9.687859e-7,0.0002751946,0.9411283,0.001303477,0.0007133845,0.0009320719,0.000004482452,0.0009903454,0.05465176],"genre_scores_gemma":[0.02648013,0.000637013,0.007477258,0.0003126851,0.0008258342,0.0007974716,0.00205606,0.0001637301,0.9612498],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9336511,"threshold_uncertainty_score":0.9998074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2569695769","doi":"10.1007/978-3-319-50502-2_3","title":"Markov Multi-armed Bandit","year":2016,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Markov chain; Computer science; Markov model; Variable-order Markov model; Markov process; Markov property; Markov decision process; Markov kernel; Mathematical optimization; Markov renewal process; Examples of Markov chains; Mathematics; Machine learning; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1022131276347232,"gpt":0.3813151395114032,"spread":0.27910201187668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002165316,0.0007940594,0.00128069,0.0006580658,0.0003476865,0.0003830081,0.002648051,0.001198844,0.009833977],"category_scores_gemma":[0.0005387412,0.0005311414,0.0005498425,0.0002365729,0.0008002787,0.0003549266,0.0009373375,0.00146782,0.005172589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958633,"about_ca_system_score_gemma":0.0002177523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004300942,"about_ca_topic_score_gemma":0.00007205,"domain_scores_codex":[0.9919656,0.0001645265,0.001381036,0.001786051,0.003529917,0.00117286],"domain_scores_gemma":[0.9922968,0.003302122,0.0007982861,0.002213692,0.0008366567,0.0005524011],"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":[0.000134484,0.00003221064,0.00005173914,0.000009273656,0.0001160511,0.0003259763,0.000034005,0.001087234,0.000005589254,0.006878722,0.06832538,0.9229993],"study_design_scores_gemma":[0.001751408,0.0001028985,0.0001954823,0.0004670081,0.00003560955,0.00003986289,0.00001769118,0.0512771,0.00001502657,0.04588139,0.8989516,0.001264933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0000114391,0.002592347,0.6091687,0.0004589622,0.002955607,0.0008973288,0.0001940616,0.0002293343,0.3834922],"genre_scores_gemma":[0.007345539,0.0014133,0.00113704,0.000188856,0.002906393,0.0000523042,0.00004299397,0.000220025,0.9866936],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9217344,"threshold_uncertainty_score":0.999714,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292730044","doi":"10.1007/978-3-031-07021-1_3","title":"ADS-B Broadcast Authentication","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Authentication (law); Computer network; Certificate; Message authentication code; Computer security; Broadcast domain; Transmission (telecommunications); Atomic broadcast; Broadcasting (networking); Cryptography; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01655509964502808,"gpt":0.2386038761681455,"spread":0.2220487765231174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002315033,0.0002761083,0.0002688154,0.0002030519,0.0003698694,0.0001827292,0.0009903904,0.0001751755,0.001903094],"category_scores_gemma":[0.00000192327,0.0003066405,0.0001984686,0.0001496717,0.00006553544,0.0002047696,0.0005501412,0.0005652308,0.00004319106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008320452,"about_ca_system_score_gemma":0.00006852396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002818162,"about_ca_topic_score_gemma":0.00003329801,"domain_scores_codex":[0.9982702,0.00003369743,0.000387731,0.0005689826,0.000424246,0.000315122],"domain_scores_gemma":[0.9985639,0.00007702682,0.0002716017,0.0009118611,0.0000757755,0.00009979011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002278891,0.00001556363,0.000007688055,0.00000706741,0.00003526188,0.00001178896,0.0002387179,0.0001427339,9.390471e-7,0.8391768,0.004824859,0.1555363],"study_design_scores_gemma":[0.0002435236,0.00004820892,0.00006516789,0.00003578543,0.00003504715,0.00002031217,0.00001348103,0.1354774,8.837389e-7,0.0259586,0.8376485,0.0004530943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008434855,0.001683051,0.7239214,0.0006751232,0.002156538,0.0006216459,0.00004695214,0.0004421778,0.2703688],"genre_scores_gemma":[0.5963718,0.007579973,0.01094119,0.00270774,0.002794463,0.0005195205,0.002561717,0.0003793387,0.3761443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8328237,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2561386561","doi":"10.1007/978-3-319-47352-9_3","title":"Cross-Layer Broadcast in V2V Communication Networks","year":2016,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Broadcast communication network; Layer (electronics); Atomic broadcast; Multimedia Broadcast Multicast Service; Broadcasting (networking); Multicast","retraction":null,"screen_n_in":null,"score":{"opus":0.03622021007889879,"gpt":0.282107673720684,"spread":0.2458874636417852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008963092,0.0006940406,0.0007774223,0.0002905047,0.0004526634,0.0005524489,0.004181119,0.0008993328,0.0003841453],"category_scores_gemma":[0.00001818088,0.0006447858,0.00025109,0.0002795274,0.000337934,0.0006325784,0.002374389,0.001746735,0.0001779823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375622,"about_ca_system_score_gemma":0.0001204954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007567253,"about_ca_topic_score_gemma":0.0002475749,"domain_scores_codex":[0.9966122,0.0002687255,0.001026934,0.0009488777,0.0004006078,0.0007426691],"domain_scores_gemma":[0.9944659,0.0005951719,0.0005960819,0.003790161,0.0003385096,0.0002142082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001675487,0.00002709138,0.000183078,0.000007195485,0.00003937389,0.0000156181,0.0001110641,0.006263046,0.000003101789,0.5477687,0.002691676,0.4428734],"study_design_scores_gemma":[0.001166794,0.00005364192,0.0007120089,0.001907505,0.00001782142,0.00002427792,0.000002658748,0.6933047,0.000004840976,0.00500011,0.2964767,0.001328983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005881182,0.01914969,0.5096533,0.000979481,0.0009538147,0.0006609693,0.000005773091,0.0004387264,0.4680994],"genre_scores_gemma":[0.5483419,0.08776465,0.001930151,0.001550776,0.0011028,0.0001440959,0.0001349924,0.0002247052,0.3588059],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6870416,"threshold_uncertainty_score":0.9996004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4299346278","doi":"10.1007/978-3-030-98064-1_12","title":"Collaborative Deep Neural Network Inference via Mobile Edge Computing","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; Algoma University","funders":"","keywords":"Computer science; Mobile edge computing; Inference; Markov decision process; Edge computing; Edge device; Artificial intelligence; Enhanced Data Rates for GSM Evolution; Machine learning; Markov process","retraction":null,"screen_n_in":null,"score":{"opus":0.01019275534322303,"gpt":0.2314517227697207,"spread":0.2212589674264976,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006532382,0.0009767478,0.001136802,0.0002002327,0.001318175,0.000536136,0.002699608,0.0005924063,0.0001115288],"category_scores_gemma":[0.00001186571,0.001074363,0.0003300538,0.0006471273,0.0001979432,0.0004157084,0.003402321,0.002356268,0.00008158718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099178,"about_ca_system_score_gemma":0.0002351013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002293507,"about_ca_topic_score_gemma":0.00001637014,"domain_scores_codex":[0.9951699,0.000205436,0.0009889725,0.001502321,0.000751029,0.001382303],"domain_scores_gemma":[0.9962006,0.0008740062,0.0009338532,0.001335405,0.0003441254,0.0003120132],"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":[0.00002009275,0.00003435624,0.00009705271,0.00003970078,0.0001412977,0.0002308501,0.0009144087,0.4910235,0.000001098307,0.0515498,0.0166598,0.439288],"study_design_scores_gemma":[0.0002593,0.0001785756,0.00003584987,0.0001590384,0.00003300525,0.00003531721,0.000007977305,0.8217377,9.987145e-7,0.0027521,0.1738102,0.0009899579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002166666,0.006623739,0.8086305,0.0001004786,0.03874796,0.001122314,0.000002534674,0.001010732,0.1435451],"genre_scores_gemma":[0.6813577,0.00239422,0.04498245,0.007128888,0.1497617,0.0005402131,0.00123366,0.001569605,0.1110316],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.763648,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392902106","doi":"10.1007/978-3-031-54075-2_5","title":"Privacy-Preserving Data Analytics in Usage-Based Insurance","year":2024,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Analytics; Computer security; Data analysis; Internet privacy; Data science; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.06020928018973309,"gpt":0.2786157864416579,"spread":0.2184065062519248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.001174296,0.0008835813,0.000995632,0.0007628959,0.0002018281,0.0006084688,0.1220884,0.001294758,0.00005914136],"category_scores_gemma":[0.002402398,0.0009216702,0.00016671,0.0007570236,0.0003076742,0.001066602,0.3729473,0.003108022,0.0001368568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000343972,"about_ca_system_score_gemma":0.0003173047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006823572,"about_ca_topic_score_gemma":0.0002768751,"domain_scores_codex":[0.9942572,0.00006293765,0.001055052,0.002683937,0.000914936,0.001025957],"domain_scores_gemma":[0.9564022,0.00063702,0.0004542113,0.04224437,0.0001058997,0.0001562533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004287426,0.0001235815,0.001831095,0.0008576131,0.0003830845,0.002799312,0.00007247055,0.01531965,0.000008983146,0.1377495,0.707693,0.1331189],"study_design_scores_gemma":[0.0002427708,0.00002412287,0.0001071601,0.001819674,0.00002724922,0.00001050741,0.000001164456,0.7609425,0.000007234339,0.1695127,0.06656557,0.0007393463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003059016,0.01665157,0.8134449,0.02081317,0.004442493,0.001400675,0.0008707556,0.00482511,0.1372454],"genre_scores_gemma":[0.4583458,0.01294159,0.3903881,0.002861859,0.003167849,0.0002138019,0.004820707,0.001379046,0.1258812],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7456228,"threshold_uncertainty_score":0.9993234,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2496964326","doi":"10.1007/978-3-319-25130-1_4","title":"Coordinated V2V Fast Charging for Mobile GEVs Based on Price Control","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Revenue; Game theory; Control (management); Charging station; Electricity; Electric vehicle; Optimal control; Mathematical optimization; Power (physics); Electrical engineering; Finance; Microeconomics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007025682950480795,"gpt":0.1944529591919514,"spread":0.1874272762414706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001818611,0.0006101417,0.0007260431,0.000152973,0.0001013889,0.000066691,0.0003099844,0.000869883,0.0001911345],"category_scores_gemma":[0.000005747001,0.0005968868,0.0002192855,0.00007978826,0.00003795395,0.00005982153,0.00001965734,0.0009586195,0.00002540633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820194,"about_ca_system_score_gemma":0.00005844353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002858946,"about_ca_topic_score_gemma":0.000003178575,"domain_scores_codex":[0.9982786,0.00001185203,0.000405958,0.0004124269,0.0002554777,0.0006356629],"domain_scores_gemma":[0.9988657,0.0001674372,0.0001545824,0.0004255938,0.0001837945,0.0002028458],"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":[0.00009474341,0.000008268005,0.000003917184,0.000121811,0.0001423091,0.00001633992,0.0000167494,0.888742,0.00003021437,0.005056948,0.04435245,0.06141419],"study_design_scores_gemma":[0.001302623,0.0001825571,0.000003958493,0.0002630818,0.00006891798,0.000004814963,0.000002545991,0.7999326,0.00001783466,0.0003203977,0.1973734,0.0005273042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003260602,0.007730374,0.5729471,0.0000975826,0.002810804,0.004100098,0.000503281,0.001869653,0.409615],"genre_scores_gemma":[0.9498976,0.0002242819,0.000257697,0.0004954081,0.002591804,0.00033957,0.0006000592,0.0005675469,0.04502606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9495715,"threshold_uncertainty_score":0.9996483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4250290502","doi":"10.1007/978-3-030-01731-6_1","title":"Introduction","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Vehicular ad hoc network; Scope (computer science); Reinforcement learning; Wireless ad hoc network; Section (typography); Computer network; Computer security; Artificial intelligence; Distributed computing; Telecommunications; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.005681630522665091,"gpt":0.175280372312011,"spread":0.1695987417893459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000185792,0.000648876,0.0006042423,0.0001328289,0.00009221389,0.00008036566,0.0003489927,0.001095433,0.003907651],"category_scores_gemma":[0.000003134556,0.0007238568,0.0002238707,0.00006749001,0.0001496016,0.0001056376,0.00009060305,0.001181514,0.001638877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415936,"about_ca_system_score_gemma":0.00002122427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001659103,"about_ca_topic_score_gemma":0.00004313772,"domain_scores_codex":[0.9980058,0.00001486271,0.0004635105,0.0005596502,0.000311032,0.0006451227],"domain_scores_gemma":[0.9986953,0.00003544747,0.0001126936,0.000871407,0.00009541587,0.0001897427],"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":[0.000007378792,0.000002839028,7.02306e-7,0.00003634778,0.0001559333,0.00002387045,0.00001762216,0.5649601,0.000005211421,0.0054305,0.4126288,0.01673076],"study_design_scores_gemma":[0.0001068938,0.00002190867,0.000002408286,0.0001230994,0.00006382866,0.00003236592,0.000001174974,0.4484485,0.000008281567,0.0007976841,0.549925,0.0004689241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005465039,0.00957396,0.05537239,0.000197163,0.0141375,0.0008390264,0.00002773573,0.003132684,0.916173],"genre_scores_gemma":[0.04135568,0.005698346,0.0005542177,0.0002023482,0.09015635,0.00006020326,0.0009808013,0.00118225,0.8598098],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1372962,"threshold_uncertainty_score":0.9995213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292730268","doi":"10.1007/978-3-031-07021-1_2","title":"Modern Cryptography for ADS-B Systems","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Cryptography; Computer security; Computer science; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02141387114961216,"gpt":0.2437938576383899,"spread":0.2223799864887778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003653569,0.0004461671,0.0005418432,0.0003830093,0.0005645621,0.0003454856,0.001304681,0.0002925849,0.0001703402],"category_scores_gemma":[0.000001928792,0.0004818105,0.0005233343,0.0001935769,0.00007631556,0.0002246488,0.0004501606,0.0005583756,0.00000463251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007129867,"about_ca_system_score_gemma":0.00008448671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004477995,"about_ca_topic_score_gemma":0.00004655278,"domain_scores_codex":[0.9975152,0.00003855411,0.000582999,0.0008297637,0.0004929257,0.0005405412],"domain_scores_gemma":[0.9980556,0.0002106865,0.0003938742,0.001041204,0.0001494024,0.0001491844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009930514,0.00002081405,0.000009820175,0.00004990468,0.0001295555,0.000009481696,0.0001656035,0.003640468,6.378976e-7,0.9505773,0.01079244,0.0345941],"study_design_scores_gemma":[0.0004044638,0.00010707,0.000005284623,0.00005774424,0.00004518205,0.00001259428,0.00001433055,0.417619,2.184479e-7,0.05281698,0.5284079,0.0005092944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001664189,0.003781565,0.9437296,0.0001116206,0.002346369,0.001140307,0.0001436951,0.0003035242,0.04842667],"genre_scores_gemma":[0.6772909,0.02010086,0.0793228,0.005169286,0.01306671,0.0110536,0.008309642,0.001900548,0.1837857],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8977603,"threshold_uncertainty_score":0.9997634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384464518","doi":"10.1007/978-3-031-32397-3_11","title":"AI-Driven Attack Modeling and Defense Strategies in Mobile Crowdsensing: A Special Case Study on Fake Tasks","year":2023,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Task (project management); Computer security; Key (lock); Crowdsensing; Popularity; Variety (cybernetics); Process (computing); Trustworthiness; Crowdsourcing; Mobile device; Participatory sensing; Human–computer interaction; Data science; World Wide Web; Artificial intelligence; Engineering; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03979774028663091,"gpt":0.2753736092422756,"spread":0.2355758689556446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005566339,0.0008682483,0.001041374,0.0005119303,0.0004243528,0.00109293,0.0005402651,0.0006888355,0.000007055125],"category_scores_gemma":[0.0000106114,0.0009092793,0.0001983196,0.0002576327,0.0001586754,0.0003067352,0.0006274949,0.00177992,0.00003988103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474756,"about_ca_system_score_gemma":0.0001805343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206167,"about_ca_topic_score_gemma":0.002086661,"domain_scores_codex":[0.9959472,0.0001426059,0.0008717436,0.001630091,0.0005665805,0.0008417074],"domain_scores_gemma":[0.9976875,0.0003245372,0.0002891205,0.001296961,0.0001561887,0.0002457158],"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":[0.00004511395,0.0001063518,0.00003485497,0.00004243666,0.0001034119,0.03577311,0.004561356,0.9030577,0.000004464549,0.01381988,0.0007529044,0.04169844],"study_design_scores_gemma":[0.0008388959,0.0003945757,0.00001162215,0.0008546383,0.00005772923,0.001587273,0.002049673,0.990993,0.000001029105,0.001511518,0.0006984716,0.001001571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7653946,0.001299478,0.1634213,0.0001901238,0.005230437,0.004310724,0.00003684907,0.001870384,0.05824602],"genre_scores_gemma":[0.9909962,0.0001420979,0.0002769413,0.000170808,0.002010105,0.00003880875,0.00002210845,0.0001870879,0.006155873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2256015,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903386141","doi":"10.1007/978-3-030-02158-0","title":"Hybrid Massive MIMO Precoding in Cloud-RAN","year":2018,"lang":"en","type":"book","venue":"Wireless networks","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Baseband; Computer science; Channel state information; MIMO; sync; Cloud computing; C-RAN; Channel (broadcasting); Electronic engineering; Radio access network; Wireless; Telecommunications; Base station; Engineering; Bandwidth (computing)","retraction":null,"screen_n_in":null,"score":{"opus":0.009126531542768764,"gpt":0.1950449916199604,"spread":0.1859184600771916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001835084,0.000493739,0.0007576122,0.000257919,0.00006116098,0.00006887013,0.0003842776,0.0004756498,0.0003071847],"category_scores_gemma":[0.000006983722,0.0005240504,0.0002635345,0.0001554934,0.00008935499,0.00007803354,0.00006445988,0.0008675389,0.0001871658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028726,"about_ca_system_score_gemma":0.00005043498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009999525,"about_ca_topic_score_gemma":0.00007488601,"domain_scores_codex":[0.9982514,0.00004209126,0.0004880803,0.0004253622,0.0002027953,0.0005902418],"domain_scores_gemma":[0.9991733,0.0001176979,0.0001117631,0.0004216406,0.00004780031,0.0001277292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006112479,0.00005200382,0.0002298882,0.0006009123,0.001183685,0.0007988045,0.000448706,0.1494109,0.0001658043,0.001744207,0.808578,0.03672594],"study_design_scores_gemma":[0.0002807949,0.00002004187,0.000015061,0.001030532,0.000111979,0.000007103163,0.00001627987,0.9628079,0.00001352174,0.0006310989,0.0343756,0.0006900802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001978012,0.01014075,0.504761,0.0000521093,0.004755406,0.0008063695,0.00007735917,0.00128961,0.4761393],"genre_scores_gemma":[0.4952644,0.004277494,0.0002238446,0.0001337474,0.007279183,0.00006728528,0.000474686,0.0004255702,0.4918538],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.813397,"threshold_uncertainty_score":0.9997211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3210954245","doi":"10.1007/978-3-030-87136-9","title":"Dynamic Resource Management in Service-Oriented Core Networks","year":2021,"lang":"en","type":"book","venue":"Wireless networks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Core (optical fiber); Service (business); Resource management (computing); Distributed computing; Resource (disambiguation); Computer network; Telecommunications; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.009347008792745732,"gpt":0.2175070544568732,"spread":0.2081600456641274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006808479,0.0008983167,0.001009626,0.0004595599,0.0002720205,0.0003543768,0.002914096,0.0007858446,0.00002654607],"category_scores_gemma":[0.000003661218,0.000956653,0.0003236301,0.001560304,0.00008295457,0.00003356202,0.004104953,0.00180048,0.00004429738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007554865,"about_ca_system_score_gemma":0.0001189027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000293129,"about_ca_topic_score_gemma":0.0002701753,"domain_scores_codex":[0.9947178,0.0001985601,0.0009986883,0.001924898,0.0008515136,0.001308515],"domain_scores_gemma":[0.996341,0.000200777,0.0005222253,0.00254822,0.0001318129,0.000255999],"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":[0.00001749312,0.0001120571,0.00002323523,0.0002031692,0.0002443699,0.001482968,0.0002255774,0.7815626,7.044211e-8,0.02988002,0.04298098,0.1432674],"study_design_scores_gemma":[0.0006499095,0.00002922586,0.0001493227,0.001527815,0.00005356272,0.00002177451,0.0000588859,0.7604992,5.095377e-8,0.00038785,0.2358872,0.0007352727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0008814033,0.007401628,0.540473,0.001062847,0.003416233,0.001553632,0.000004768648,0.001142728,0.4440638],"genre_scores_gemma":[0.01404987,0.0008804899,0.0058097,0.004942441,0.001301698,0.0001778035,0.0006231619,0.0003134306,0.9719014],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5346633,"threshold_uncertainty_score":0.9992884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2725950286","doi":"10.1007/978-3-319-57690-9_3","title":"Limiting Factors in Self-Interference Cancellation","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Single antenna interference cancellation; Computer science; Transceiver; Quantization (signal processing); Active noise control; Bottleneck; Electronic engineering; Wireless; Phase noise; Communications system; Telecommunications; Channel (broadcasting); Algorithm; Embedded system; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02269906202155753,"gpt":0.2220628928303398,"spread":0.1993638308087822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001189553,0.0005211197,0.0005675582,0.0001901722,0.0001817281,0.0001296817,0.0009067635,0.0007004135,0.0001117883],"category_scores_gemma":[0.00001142729,0.000603502,0.0001309713,0.00003188416,0.00007852361,0.0001609551,0.0001862264,0.001395568,0.00004781676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370076,"about_ca_system_score_gemma":0.0000495681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007241117,"about_ca_topic_score_gemma":0.002356466,"domain_scores_codex":[0.9984605,0.00002089725,0.0005376046,0.000361776,0.00018253,0.0004366869],"domain_scores_gemma":[0.9980236,0.0002221487,0.000252101,0.001333532,0.00006520466,0.000103408],"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":[0.000004505266,0.00001059147,0.0009468363,0.0001077731,0.00009517885,0.000013156,0.0004249915,0.9738096,0.00002579085,0.008351992,0.000789896,0.01541971],"study_design_scores_gemma":[0.0002003581,0.00001207265,0.0008396769,0.001238982,0.00003433979,0.000002910105,0.00001486717,0.9801424,0.00003081359,0.00007230807,0.0167321,0.0006791718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08392246,0.007162364,0.006460752,0.000098588,0.003041922,0.001206232,0.00007903802,0.002455698,0.895573],"genre_scores_gemma":[0.9720728,0.0041402,0.0001947525,0.00001034103,0.0003529153,0.00003341479,0.0001938593,0.0002043583,0.02279729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8881504,"threshold_uncertainty_score":0.9996417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209181774","doi":"10.1007/978-3-030-87136-9_5","title":"Dynamic VNF Scheduling for Network Utility Maximization","year":2021,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Granularity; Network packet; Distributed computing; Generalized processor sharing; Maximization; Quality of service; Computer network; Dynamic priority scheduling; Mathematical optimization; Round-robin scheduling; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01826467736245175,"gpt":0.2318111334905162,"spread":0.2135464561280645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007819727,0.0006255428,0.000919511,0.000106468,0.0004745912,0.0005215066,0.001031888,0.001057702,0.0001227297],"category_scores_gemma":[0.00001771475,0.0006658413,0.0005582572,0.0001826036,0.00007068698,0.0002759386,0.0004006614,0.0007930589,0.00002433555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932177,"about_ca_system_score_gemma":0.000164791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006429658,"about_ca_topic_score_gemma":0.0001452383,"domain_scores_codex":[0.9965169,0.00009124331,0.0009586888,0.001267704,0.0003829514,0.0007824771],"domain_scores_gemma":[0.9970067,0.0003302522,0.0006456419,0.001308928,0.0005253447,0.0001831318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002763524,0.00001907168,0.00001362318,0.0001067728,0.0001876822,0.00002626336,0.0000407298,0.3741003,7.329804e-7,0.5536079,0.008427629,0.06344165],"study_design_scores_gemma":[0.0003113419,0.00004853102,0.00001034432,0.000784347,0.0000413413,0.00003346484,0.000005632754,0.9014722,7.089802e-7,0.01019919,0.086493,0.0005999366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0000114794,0.004093579,0.9335883,0.0001772559,0.007591349,0.0007514539,0.0000111473,0.0003634263,0.05341205],"genre_scores_gemma":[0.2699667,0.002742544,0.07464141,0.001853535,0.01089952,0.0004182769,0.001157954,0.0005347609,0.6377853],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8589469,"threshold_uncertainty_score":0.9995793,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2471218603","doi":"10.1007/978-3-319-25130-1_2","title":"Charging/Discharging for EVs","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Revenue; Grid; Power grid; Distributed computing; Selection (genetic algorithm); Penetration (warfare); Transmission (telecommunications); Power (physics); Operations research; Telecommunications; Business; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01419420869514851,"gpt":0.2080943531274129,"spread":0.1939001444322644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001354883,0.0005066004,0.0005580952,0.0001104381,0.0000865936,0.00006236348,0.000296075,0.0007480634,0.000200229],"category_scores_gemma":[0.000003265584,0.0005088229,0.0002059616,0.00004448371,0.00002704186,0.00008350045,0.00004365591,0.0008015771,0.00003901678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739133,"about_ca_system_score_gemma":0.00003753354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001765548,"about_ca_topic_score_gemma":0.000005764176,"domain_scores_codex":[0.998545,0.000003858601,0.0003505579,0.0003287919,0.0002141157,0.0005576892],"domain_scores_gemma":[0.9992052,0.0000500463,0.00009930958,0.0003593518,0.0001063527,0.0001796892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003324076,0.000004562673,0.000008125874,0.0003206539,0.0003735906,0.00001916168,0.0001165159,0.1893625,0.00005238029,0.1756158,0.3849347,0.2491588],"study_design_scores_gemma":[0.0003318338,0.00003520081,0.000002423512,0.0002347433,0.00006197457,0.00001261938,0.000003355053,0.405678,0.0000154036,0.006408274,0.5866539,0.0005621899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002196131,0.04227934,0.1034121,0.0001217298,0.004298411,0.001512292,0.0001822922,0.001780955,0.8461933],"genre_scores_gemma":[0.2251398,0.005372555,0.002072381,0.0004862647,0.01782291,0.000240681,0.001468795,0.00180794,0.7455887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2485966,"threshold_uncertainty_score":0.9997363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2729768891","doi":"10.1007/978-3-319-57690-9_5","title":"Widely-Linear Subspace-Based Self-Interference-Cancellation","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Baseband; Signal subspace; Subspace topology; MIMO; Single antenna interference cancellation; Algorithm; Covariance; Interference (communication); Channel (broadcasting); Transmitter; Dimension (graph theory); SIGNAL (programming language); Telecommunications; Mathematics; Bandwidth (computing); Artificial intelligence; Noise (video); Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.02199178121770636,"gpt":0.2247413527726839,"spread":0.2027495715549775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001783599,0.0007878602,0.0007853073,0.0002025225,0.0003612449,0.0001685713,0.001326692,0.001049451,0.0003876769],"category_scores_gemma":[0.0000104674,0.0009067995,0.0002957569,0.00004206516,0.0001830306,0.0001614034,0.0001702425,0.001549852,0.0003376605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004054191,"about_ca_system_score_gemma":0.0001308195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002911429,"about_ca_topic_score_gemma":0.000575471,"domain_scores_codex":[0.9978965,0.00003305281,0.0006369549,0.0005309458,0.0003368264,0.0005657179],"domain_scores_gemma":[0.9963304,0.0002283944,0.0003817515,0.002654458,0.0001984223,0.0002065401],"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":[0.00001791203,0.00001647049,0.00003784402,0.0001322724,0.0001945899,0.00001305291,0.00007415876,0.9727196,0.00002147684,0.007612533,0.007530005,0.01163008],"study_design_scores_gemma":[0.000393232,0.00002677773,0.00003869936,0.0008165167,0.0001070149,0.000003928147,0.000002947652,0.8730958,0.00004668965,0.00007098432,0.1246107,0.0007867841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004567616,0.01216656,0.1167636,0.0006550839,0.005219079,0.002133535,0.0002081326,0.006079406,0.852207],"genre_scores_gemma":[0.8831221,0.005423902,0.002318281,0.00008490812,0.001514578,0.0001189904,0.0007951235,0.0005956945,0.1060264],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8785545,"threshold_uncertainty_score":0.9993383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2727728994","doi":"10.1007/978-3-319-57690-9_4","title":"Self-Interference Channel Estimation and Cancellation Using Compressed-Sensing and Subspace Approaches","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Baseband; MIMO; Single antenna interference cancellation; Channel (broadcasting); Residual; Signal subspace; Electronic engineering; Algorithm; Compressed sensing; Transceiver; Noise (video); Telecommunications; Bandwidth (computing); Wireless; Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04915550334388863,"gpt":0.224407694417538,"spread":0.1752521910736494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001206611,0.0004627569,0.0004916583,0.0001220139,0.000398495,0.0002525975,0.000254204,0.0004953115,0.000004166539],"category_scores_gemma":[0.000006002296,0.0005475093,0.00004802045,0.00002160616,0.0001895225,0.0002076478,0.0002015007,0.0006573206,0.000002565359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409105,"about_ca_system_score_gemma":0.00002619999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008158899,"about_ca_topic_score_gemma":0.0004275558,"domain_scores_codex":[0.9988301,0.00002406845,0.000326857,0.0003838938,0.0001436117,0.0002915095],"domain_scores_gemma":[0.9986416,0.0001373991,0.0002553729,0.0007864463,0.00006484132,0.0001143632],"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":[0.000006570554,0.000003947533,0.000009318409,0.000278256,0.00009821713,0.000003382299,0.0004434854,0.9614676,0.00003211244,0.002989877,0.00006731597,0.03459997],"study_design_scores_gemma":[0.0002020009,0.000009728442,0.00004643581,0.0009650315,0.0001072058,0.00003280731,0.00001703635,0.997174,0.00002592886,0.0001406411,0.0007750521,0.000504138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03919962,0.03192166,0.8624903,0.0002399829,0.001421287,0.001970765,0.00007936857,0.001807624,0.06086938],"genre_scores_gemma":[0.9857721,0.004130603,0.007283805,0.000007254542,0.0002462899,0.000008100197,0.0001068332,0.0001618546,0.002283106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465725,"threshold_uncertainty_score":0.9996976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2725444302","doi":"10.1007/978-3-319-57690-9_6","title":"Maximum Likelihood Self-Interference Cancellation","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Estimator; Interference (communication); Algorithm; Transceiver; Channel (broadcasting); Convergence (economics); Noise (video); Iterative method; Single antenna interference cancellation; Signal-to-noise ratio (imaging); Process (computing); Phase (matter); Gaussian noise; Maximum likelihood; Mathematical optimization; Telecommunications; Mathematics; Statistics; Wireless; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01327268500929385,"gpt":0.2112360220045177,"spread":0.1979633369952238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001292972,0.0006653509,0.000646288,0.0001423934,0.000318436,0.0001991948,0.001367284,0.0009027871,0.0003284172],"category_scores_gemma":[0.000005587587,0.0007772009,0.0002098443,0.00002762855,0.0001204779,0.0001698927,0.0002718723,0.001420243,0.0003562434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665178,"about_ca_system_score_gemma":0.00008137253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003717031,"about_ca_topic_score_gemma":0.0007466664,"domain_scores_codex":[0.9981468,0.00002011117,0.000548768,0.0004616466,0.0002622426,0.0005604311],"domain_scores_gemma":[0.996891,0.0001184179,0.0002936809,0.002365983,0.0001401552,0.0001908102],"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":[0.00002016958,0.000033988,0.00004588702,0.0003136644,0.0006157027,0.00003888792,0.0003615927,0.7322035,0.00005767436,0.02244649,0.02687172,0.2169907],"study_design_scores_gemma":[0.0002619722,0.00002342988,0.00005467872,0.0008323656,0.0001069022,0.00001201781,0.000004128025,0.8359725,0.00002136575,0.0007150135,0.1611393,0.0008563282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001100818,0.01090263,0.02823141,0.0001736756,0.00341684,0.0009130319,0.0000997469,0.002864486,0.9522974],"genre_scores_gemma":[0.8697509,0.01874484,0.001256372,0.00006321222,0.00175407,0.0001290885,0.0005305994,0.0005978381,0.1071731],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8686501,"threshold_uncertainty_score":0.9994679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2546907076","doi":"10.1007/978-3-319-47726-8_6","title":"Diversity Relaying with Spatially Random Mobile Relays","year":2016,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; IBM (Canada); University of New Brunswick","funders":"","keywords":"Computer science; Aloha; A priori and a posteriori; Outage probability; Cooperative diversity; Timer; Wireless; Fading; Wireless network; Computer network; Diversity (politics); Random access; Upper and lower bounds; Throughput; Algorithm; Telecommunications; Mathematics; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.02042717658406599,"gpt":0.2175223001624501,"spread":0.1970951235783841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004172718,0.0005048272,0.0006186028,0.0001348303,0.001529051,0.0001432707,0.002187916,0.0004084603,0.0001827942],"category_scores_gemma":[0.000006679167,0.000387001,0.0001869,0.0001170189,0.0001912577,0.0003625622,0.004414266,0.0008694117,0.00009855269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673401,"about_ca_system_score_gemma":0.0001151444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003896022,"about_ca_topic_score_gemma":0.0001074848,"domain_scores_codex":[0.9978115,0.0001123495,0.00040715,0.0007691548,0.0004520791,0.0004477952],"domain_scores_gemma":[0.9969756,0.0004065018,0.0004236342,0.001724647,0.000276686,0.0001929315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001440693,0.00002668961,0.0001652621,0.00001644265,0.0002104688,0.00009856456,0.0006983651,0.003616724,0.00000535794,0.5842286,0.00292606,0.4078634],"study_design_scores_gemma":[0.009442226,0.0008074975,0.0001784788,0.005359527,0.0002642132,0.0001267587,0.00001435603,0.3388357,0.00002532102,0.007588125,0.6331193,0.004238525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007236947,0.002177185,0.6988477,0.0002493129,0.0004843885,0.0007135118,0.00000356573,0.0003535238,0.2970985],"genre_scores_gemma":[0.5533199,0.02397523,0.003910702,0.001000783,0.001187946,0.0001717172,0.00004090379,0.0001798743,0.4162129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6949369,"threshold_uncertainty_score":0.9998582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392902143","doi":"10.1007/978-3-031-54075-2_7","title":"Conclusions and Future Research Directions","year":2024,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03399875482512538,"gpt":0.3170781240879297,"spread":0.2830793692628044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004435225,0.0003132089,0.0003246246,0.0007291765,0.0006659952,0.0002821072,0.0007282835,0.0009404774,0.0001265124],"category_scores_gemma":[0.000007330062,0.0002985935,0.00008358017,0.0003719323,0.00043065,0.0002286618,0.001383665,0.00344683,0.000266474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050767,"about_ca_system_score_gemma":0.00007974226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090191,"about_ca_topic_score_gemma":0.00006957841,"domain_scores_codex":[0.9980296,0.00004333775,0.0003127284,0.0008282253,0.000369682,0.0004164061],"domain_scores_gemma":[0.9983723,0.0002246846,0.0001117359,0.0007847357,0.0004338689,0.0000727211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002736662,0.000006933729,0.000001159284,0.0000147125,0.00006626395,0.00007887149,0.0001329252,0.000004134578,0.00001114033,0.8795367,0.0202405,0.09990385],"study_design_scores_gemma":[0.00006740841,0.00006831456,0.00001074455,0.0002902296,0.0000151382,0.0001132794,0.00002857229,0.01453949,0.00001078688,0.1029138,0.8816719,0.0002703599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004748873,0.01077488,0.01825597,0.007170804,0.006655538,0.000486002,0.0000126919,0.001040085,0.9555565],"genre_scores_gemma":[0.01809252,0.009502456,0.001024101,0.0003542833,0.005208709,0.0001043489,0.00004438761,0.0001293456,0.9655399],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8614314,"threshold_uncertainty_score":0.9999466,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4301049897","doi":"10.1007/978-3-030-98064-1_9","title":"Deep Reinforcement Learning for Mobile Edge Computing Systems","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Reinforcement learning; Computer science; Mobile edge computing; Task (project management); Distributed computing; Enhanced Data Rates for GSM Evolution; Focus (optics); Mobile device; Artificial intelligence; Edge device; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01600907175956083,"gpt":0.226056927223118,"spread":0.2100478554635572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008302953,0.0006161301,0.0008138603,0.0002166793,0.001172041,0.0004689935,0.001588799,0.0004035608,0.0000242116],"category_scores_gemma":[0.000009776491,0.0006835948,0.0003744167,0.0001316451,0.00005577111,0.0001998336,0.001623562,0.001343956,0.00003299826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030391,"about_ca_system_score_gemma":0.0001152643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002387304,"about_ca_topic_score_gemma":0.000001049804,"domain_scores_codex":[0.9965503,0.0000697654,0.0008715283,0.001012005,0.0005521837,0.0009442395],"domain_scores_gemma":[0.9975177,0.0005221636,0.0007955751,0.0008076691,0.0001770139,0.0001798816],"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":[0.000008674004,0.00000822422,0.00000658574,0.0001258316,0.00008677987,0.00002355646,0.000395681,0.8379079,6.207396e-7,0.06731102,0.008318533,0.08580659],"study_design_scores_gemma":[0.0002314372,0.0001472855,8.037483e-7,0.0002215263,0.0000217285,0.00001863862,0.00001068231,0.6105981,5.601622e-7,0.0001450343,0.3881405,0.0004637005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0000164044,0.003173173,0.8768468,0.00002335503,0.02468021,0.001135403,1.811766e-7,0.000544609,0.09357981],"genre_scores_gemma":[0.2729762,0.001133536,0.00894154,0.001085546,0.06997096,0.0009156691,0.001037256,0.0009636923,0.6429756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8679053,"threshold_uncertainty_score":0.9995615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4241286900","doi":"10.1007/978-3-319-58721-9_7","title":"Conclusions and Future Works","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Node (physics); Network packet; Throughput; Vehicular ad hoc network; Intelligent transportation system; Distributed computing; Wireless ad hoc network; Application layer; Layer (electronics); Service (business); Link layer; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.006619178016496682,"gpt":0.1924529587574862,"spread":0.1858337807409895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001752402,0.0008322241,0.0009192872,0.0001088148,0.0004316196,0.0002840986,0.0005730129,0.001872707,0.0003564356],"category_scores_gemma":[0.000002848816,0.0008651121,0.0002302978,0.00002281122,0.00024061,0.0001729165,0.0003509812,0.002139059,0.00008523851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183015,"about_ca_system_score_gemma":0.00003489786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004429942,"about_ca_topic_score_gemma":0.0001521594,"domain_scores_codex":[0.9979059,0.00001692063,0.0004462457,0.000584318,0.0003067391,0.0007398779],"domain_scores_gemma":[0.9980594,0.0000889791,0.0001927249,0.00121247,0.00006520081,0.0003812351],"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":[0.00002438637,0.000008864713,0.00002329424,0.000184057,0.0005972394,0.00047242,0.0001120886,0.4098994,0.000004988063,0.03953702,0.0810245,0.4681118],"study_design_scores_gemma":[0.0003237096,0.00001759554,0.00003589006,0.0009915333,0.0001281268,0.00006914938,0.000006074195,0.3850455,6.832497e-7,0.0008221081,0.6117734,0.0007862644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000314273,0.1104421,0.006268598,0.000306463,0.006259915,0.0009056793,0.00005652022,0.001363673,0.8740827],"genre_scores_gemma":[0.2566708,0.287761,0.0008456137,0.0006723423,0.04590715,0.0001379215,0.001123089,0.002050323,0.4048318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5307489,"threshold_uncertainty_score":0.9994231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048257131","doi":"10.1007/978-3-030-51229-3_5","title":"Characterizing Urban V2V Link Communications","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Non-line-of-sight propagation; Computer science; Context (archaeology); Dedicated short-range communications; Network packet; Computer network; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01635071479489912,"gpt":0.2010906528741376,"spread":0.1847399380792385,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001567549,0.0008116786,0.0009258497,0.0001175158,0.0001988689,0.0001532885,0.001387028,0.001119296,0.0002056767],"category_scores_gemma":[0.000005461521,0.0009713245,0.0003602256,0.0001108155,0.0001715786,0.0001397387,0.0004860282,0.002816589,0.0005428797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198025,"about_ca_system_score_gemma":0.00004427506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003974955,"about_ca_topic_score_gemma":0.00003937115,"domain_scores_codex":[0.9976743,0.00003883693,0.0007361689,0.0005418918,0.0003237103,0.0006850286],"domain_scores_gemma":[0.9971408,0.0001528047,0.0002125944,0.00204142,0.00007477059,0.0003775577],"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":[0.00002817261,0.0000226403,0.00003157105,0.0003632163,0.001294921,0.0002483038,0.0004096373,0.6497756,0.0001586625,0.1054613,0.09654249,0.1456635],"study_design_scores_gemma":[0.0001357008,0.00001418972,0.00001192136,0.0004141331,0.00009162029,0.00001348617,0.000002274034,0.5323156,0.000004008985,0.0002079924,0.466208,0.0005810168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00007556991,0.03128528,0.02203147,0.001687477,0.002884576,0.001276587,0.0001340825,0.003912126,0.9367129],"genre_scores_gemma":[0.772162,0.04856244,0.002830156,0.003268366,0.02245999,0.0003128661,0.007209699,0.003056505,0.1401379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7965749,"threshold_uncertainty_score":0.9994839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385237737","doi":"10.1007/978-3-031-32138-2_3","title":"Learning-Based Privacy-Aware Maritime IoT Communications","year":2023,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Energy consumption; Computation offloading; Mobile edge computing; Scheme (mathematics); Computation; Edge computing; Mobile device; Computer network; Distributed computing; Computer security; Internet of Things; Server","retraction":null,"screen_n_in":null,"score":{"opus":0.02904915280937144,"gpt":0.2424781725805502,"spread":0.2134290197711788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004428239,0.0005210892,0.0005811296,0.0002486538,0.0007075762,0.0003664602,0.004213049,0.0006677902,0.00001773512],"category_scores_gemma":[0.00002122141,0.0005822715,0.0003004192,0.0002383329,0.000190154,0.00009430684,0.00277936,0.002000226,0.0006186815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271265,"about_ca_system_score_gemma":0.0002146769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406744,"about_ca_topic_score_gemma":0.00001483871,"domain_scores_codex":[0.997459,0.0001065779,0.0005604461,0.0007732547,0.0004292824,0.0006714473],"domain_scores_gemma":[0.9957493,0.0007048562,0.0004061318,0.002749772,0.0002006945,0.0001892224],"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":[0.00002079655,0.0001059601,0.000271505,0.0002116849,0.0003194566,0.000295853,0.0006880665,0.06206004,0.000001835034,0.1496629,0.1713873,0.6149746],"study_design_scores_gemma":[0.0001821418,0.00004940162,0.0000513967,0.0004995191,0.00002150235,0.000006585317,0.000001453191,0.7434809,8.521957e-7,0.002262804,0.2529366,0.000506874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00002125486,0.0009755559,0.8009553,0.002411627,0.01192639,0.0006093693,0.000002728449,0.003179934,0.1799178],"genre_scores_gemma":[0.04228527,0.0009936744,0.01325925,0.001744252,0.01269965,0.0001026643,0.000958103,0.0006739643,0.9272832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7876961,"threshold_uncertainty_score":0.9996629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4254521006","doi":"10.1007/978-981-15-4374-6_1","title":"Introduction","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01466471804560419,"gpt":0.2112599168056189,"spread":0.1965951987600147,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001121418,0.0003324623,0.0003687975,0.00008291438,0.0001565123,0.0001938795,0.00130769,0.000412182,0.0001872755],"category_scores_gemma":[0.00001259951,0.0003767859,0.000157844,0.0001147221,0.00009200863,0.0002466994,0.0008041675,0.0009257688,0.0008289868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105027,"about_ca_system_score_gemma":0.00007540625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006620191,"about_ca_topic_score_gemma":0.00002671947,"domain_scores_codex":[0.9981328,0.00002194565,0.000336176,0.0008804534,0.0003293291,0.0002992509],"domain_scores_gemma":[0.998176,0.00005469581,0.0002080837,0.001298665,0.00008383625,0.0001786902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000197188,0.000005311577,3.096694e-7,0.000007541804,0.00002711215,0.00002010482,0.00003271109,0.0003540928,0.000001289161,0.7215085,0.2587398,0.01930125],"study_design_scores_gemma":[0.00009044861,0.00002933053,0.000003287322,0.0000411272,0.00002127809,0.00002645996,8.196383e-7,0.1807505,0.000002065333,0.01360408,0.8050814,0.0003491913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000001165865,0.001022712,0.811156,0.012169,0.003538241,0.0002861223,0.0000357224,0.0007532921,0.1710377],"genre_scores_gemma":[0.0267864,0.003683974,0.02881214,0.007295682,0.08183017,0.0001040736,0.003006811,0.0005291168,0.8479517],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7823439,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048026974","doi":"10.1007/978-3-030-51229-3","title":"Vehicular Networking for Road Safety","year":2020,"lang":"en","type":"book","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Software deployment; Computer science; Intelligent transportation system; Block (permutation group theory); Vehicular ad hoc network; Vehicle safety; Computer security; Transport engineering; Telecommunications; Software engineering; Wireless ad hoc network; Wireless; Automotive engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008973560025605511,"gpt":0.19194297023975,"spread":0.1829694102141445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0004326348,0.001351308,0.001731663,0.0001354978,0.0002802793,0.0001992377,0.0009862497,0.001989857,0.00007535506],"category_scores_gemma":[0.00001253939,0.001554958,0.0008877473,0.0003119402,0.0001276886,0.0001438801,0.0002313203,0.002346426,0.0001378827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007834997,"about_ca_system_score_gemma":0.0002072419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003669402,"about_ca_topic_score_gemma":0.00004907763,"domain_scores_codex":[0.9954021,0.00007646721,0.001149912,0.00108515,0.0005592013,0.001727186],"domain_scores_gemma":[0.997678,0.0003066336,0.0002872251,0.001029604,0.0001290135,0.0005694537],"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":[0.00004581105,0.0000067863,0.000002905841,0.0002612671,0.0004484346,0.0000794365,0.00003338281,0.6563008,0.000002892229,0.0005415623,0.2901608,0.05211595],"study_design_scores_gemma":[0.00047086,0.00003569005,0.000005230261,0.0005479777,0.0001929637,0.00001516259,0.000002425381,0.5197454,0.000002068439,0.0002548435,0.4778835,0.0008439388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001142455,0.06960034,0.5360262,0.0003427532,0.02296474,0.006204298,0.0003187873,0.006561486,0.3578672],"genre_scores_gemma":[0.08848462,0.04225194,0.005523434,0.004851217,0.2539847,0.002693754,0.02565248,0.00959385,0.566964],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5305027,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412915435","doi":"10.1007/978-3-031-96875-4_4","title":"Aerial Acoustic Communication","year":2025,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Speech recognition; Acoustics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.009634274941359355,"gpt":0.2040933120870248,"spread":0.1944590371456655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008903956,0.000326061,0.0004222474,0.00009869949,0.00011628,0.0000472407,0.0002970667,0.0004194186,0.0001212532],"category_scores_gemma":[0.000006715082,0.0003669501,0.0001017495,0.00004176998,0.0000881903,0.00004643926,0.0001119763,0.0006172776,0.00007290575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519679,"about_ca_system_score_gemma":0.00002116908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002495833,"about_ca_topic_score_gemma":0.00003251974,"domain_scores_codex":[0.9990774,0.00001405803,0.0003470736,0.0001974075,0.0001511709,0.0002128961],"domain_scores_gemma":[0.9990643,0.0001386192,0.00007955553,0.0005967709,0.00007700241,0.00004373613],"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":[0.00001997044,0.000007042312,0.000004809349,0.0002657289,0.0006217049,0.00001049933,0.0001072075,0.5861707,0.00002832467,0.05355787,0.2650386,0.09416755],"study_design_scores_gemma":[0.0004632999,0.00001562521,0.00002277703,0.001117961,0.0002595635,0.000005894791,0.00001097037,0.6476111,0.00002293312,0.003473031,0.346122,0.0008747776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002302539,0.01232439,0.04933352,0.00005454015,0.001719497,0.0003357937,0.00002394568,0.0007224527,0.9354628],"genre_scores_gemma":[0.4052061,0.02556275,0.0006251078,0.0001665073,0.001970729,0.0001124411,0.0004301388,0.0002729449,0.5656533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.405183,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}