{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":215,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":215,"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":"d9e5749aa922","filters":{"venue":"Wireless Personal Communications"}},"results":[{"id":"W2538968690","doi":"10.1007/s11277-016-3845-0","title":"Software-Defined Fog Network Architecture for IoT","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":170,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Telus (Canada); University of Toronto","funders":"","keywords":"Computer science; Software-defined networking; Scalability; Architecture; Network architecture; Forwarding plane; The Internet; Software; Computer network; Distributed computing; World Wide Web; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03422083987120316,"gpt":0.2702516593862346,"spread":0.2360308195150315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003659744,0.0001717959,0.0001937301,0.00007133489,0.0008712251,0.0001062881,0.002717826,0.00008388116,0.000003480456],"category_scores_gemma":[0.0001093495,0.0001302233,0.0001577252,0.0003289846,0.0001551324,0.0001240535,0.0009377715,0.0001889838,0.00004997797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006355104,"about_ca_system_score_gemma":0.000160298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001848912,"about_ca_topic_score_gemma":0.0000330966,"domain_scores_codex":[0.9986669,0.0001184529,0.000244449,0.0003230606,0.0001819249,0.0004651958],"domain_scores_gemma":[0.9964989,0.001512875,0.0001166199,0.001608579,0.0001530127,0.0001099738],"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":[0.00002417811,0.0001407279,0.00177603,0.00002898181,0.00007967754,0.000001360247,0.002531344,0.00005016918,0.001158844,0.1087036,0.04750946,0.8379956],"study_design_scores_gemma":[0.001888902,0.0002411959,0.005829654,0.0004508387,0.00004247746,0.00006019819,0.00004349493,0.09755241,0.0003041094,0.09301495,0.7994519,0.001119889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005791216,0.0005292959,0.9667295,0.02406918,0.001381735,0.000262208,0.000004481876,0.000408192,0.0008241817],"genre_scores_gemma":[0.3986931,0.00005930711,0.597267,0.001120935,0.001752377,0.0001606514,0.00001964503,0.0000385091,0.0008884773],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8368757,"threshold_uncertainty_score":0.6700848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122369856","doi":"10.1007/s11277-014-2025-3","title":"Location Prediction of Vehicles in VANETs Using A Kalman Filter","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Kalman filter; Extended Kalman filter; Vehicular ad hoc network; Real-time computing; Routing (electronic design automation); Artificial neural network; Filter (signal processing); Data mining; Computer network; Artificial intelligence; Wireless ad hoc network; Telecommunications; Wireless; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.02812801468079981,"gpt":0.241331032478753,"spread":0.2132030177979531,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002403084,0.0001222154,0.0001727449,0.0001365538,0.00008944532,0.00001775476,0.0003911403,0.00009841209,0.00001493059],"category_scores_gemma":[0.00002117319,0.0001434955,0.00004560543,0.0003488699,0.0001116589,0.0001760769,0.00008234472,0.0002752958,0.00001020617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202242,"about_ca_system_score_gemma":0.00002551086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001396072,"about_ca_topic_score_gemma":0.000419251,"domain_scores_codex":[0.9990951,0.0001253355,0.000304088,0.0001217273,0.0001597123,0.0001939839],"domain_scores_gemma":[0.9990887,0.0001258531,0.00005838035,0.0005890595,0.00008764916,0.00005033016],"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":[0.000008064878,0.0001106452,0.008252934,0.0001451681,0.00004654324,5.074066e-7,0.001972679,0.9514806,0.02805972,0.002157205,0.0002331613,0.007532825],"study_design_scores_gemma":[0.0002416958,0.00001530797,0.02076943,0.0001890391,0.00001711387,0.000007030076,0.0001265391,0.9769198,0.0004672483,0.0001200637,0.001018352,0.0001084213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875551,0.0008342015,0.009729877,0.0001425875,0.00006494497,0.0001798388,0.00001735165,0.0001348426,0.001341198],"genre_scores_gemma":[0.9971038,0.0001485911,0.002514177,0.000026236,0.00005034197,0.00002909335,0.00008127058,0.00003163079,0.00001482028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759247,"threshold_uncertainty_score":0.5851579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018503434","doi":"10.1007/s11277-010-0174-6","title":"A Survey of Distributed Relay Selection Schemes in Cooperative Wireless Ad hoc Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Relay; Computer science; Cooperative diversity; Computer network; Relay channel; Selection (genetic algorithm); Wireless; Transmission (telecommunications); MIMO; Antenna diversity; Wireless ad hoc network; Node (physics); Transmitter; Channel (broadcasting); Distributed computing; Telecommunications; Fading","retraction":null,"screen_n_in":null,"score":{"opus":0.04737057116960437,"gpt":0.3060006424950873,"spread":0.2586300713254829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212478,0.0002314803,0.0003672259,0.0001951097,0.000558996,0.0001286008,0.002939523,0.0001743436,0.00003546316],"category_scores_gemma":[0.0002199534,0.0002409817,0.00007997675,0.002346137,0.0003976756,0.0004880236,0.001079873,0.001282884,0.000009975137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009276709,"about_ca_system_score_gemma":0.0002895456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000131606,"about_ca_topic_score_gemma":0.0218703,"domain_scores_codex":[0.9974946,0.0009810579,0.00056877,0.0003739611,0.0002529803,0.0003286786],"domain_scores_gemma":[0.9958854,0.000986399,0.0002622067,0.001854411,0.0008953992,0.0001161602],"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":[0.0002158139,0.003299312,0.1566282,0.0000570555,0.0003339906,0.000005416556,0.01336229,0.004996247,0.0474705,0.3288668,0.002218013,0.4425464],"study_design_scores_gemma":[0.0005099333,0.00005650283,0.1170406,0.00006975115,0.000005982271,0.000007128271,0.0001007491,0.8782755,0.0004044992,0.00002111782,0.003228357,0.0002798944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7649401,0.004414615,0.2261572,0.002930299,0.0002385431,0.0005513254,0.00007154512,0.00021975,0.0004765655],"genre_scores_gemma":[0.9887295,0.004459228,0.006224658,0.0001119471,0.00001608474,0.0001038868,0.0002686526,0.00001825031,0.00006777105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8732793,"threshold_uncertainty_score":0.995978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982889676","doi":"10.1007/s11277-009-9911-0","title":"Diversity Analysis of Relay Selection Schemes for Two-Way Wireless Relay Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of Saskatchewan","funders":"","keywords":"Relay; Computer science; Relay channel; Cooperative diversity; Wireless network; Computer network; Fading; Wireless; Selection (genetic algorithm); Diversity combining; Channel (broadcasting); Telecommunications; Artificial intelligence; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.04435030177000975,"gpt":0.3079460635567898,"spread":0.26359576178678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008930651,0.0002092009,0.0004109855,0.0003940716,0.002805674,0.00009208643,0.003568798,0.0001443654,0.00003966725],"category_scores_gemma":[0.00008063834,0.000222112,0.0003465782,0.002586252,0.0003250517,0.0004568988,0.003260893,0.0007447184,0.000003907852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000745411,"about_ca_system_score_gemma":0.00009868648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009432115,"about_ca_topic_score_gemma":0.003455201,"domain_scores_codex":[0.9982723,0.000301015,0.0004414566,0.0003953398,0.0002820592,0.000307827],"domain_scores_gemma":[0.9955884,0.0009362634,0.0003404769,0.002241103,0.0007639694,0.0001298414],"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":[0.00005989341,0.0007868737,0.04700318,0.00002512123,0.001794636,5.289516e-7,0.009804593,0.005641812,0.01855632,0.7993057,0.0008551123,0.1161662],"study_design_scores_gemma":[0.0004175128,0.00003883598,0.01026815,0.00002011143,0.0002442452,0.000002570945,0.00009724518,0.9833987,0.0004393451,0.00006401796,0.004758266,0.000251045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4108151,0.0004496302,0.5850703,0.002158891,0.0001873919,0.0003494864,0.00001947555,0.0001914357,0.0007582599],"genre_scores_gemma":[0.9691439,0.0006545137,0.02956845,0.0001855032,0.00004736273,0.00008649241,0.00009460618,0.00001498469,0.0002042313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9777569,"threshold_uncertainty_score":0.9984925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997275652","doi":"10.1007/s11277-019-07010-9","title":"Resource Optimisation in 5G and Internet-of-Things Networking","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"National Research Foundation","keywords":"Computer science; Scarcity; Internet of Things; Key (lock); Resource (disambiguation); Low latency (capital markets); Spectrum management; The Internet; Strengths and weaknesses; Computer network; Telecommunications; Distributed computing; Wireless; Computer security; World Wide Web; Cognitive radio","retraction":null,"screen_n_in":null,"score":{"opus":0.03852037282645272,"gpt":0.2485927960887812,"spread":0.2100724232623284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051727,0.0001188238,0.000184,0.00007155968,0.00006108574,0.0000188545,0.0007807366,0.00008861347,0.000006720691],"category_scores_gemma":[0.00003849255,0.0001277414,0.00003054101,0.0003648878,0.0001819526,0.0001984625,0.0003282205,0.000437933,0.000002608922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005151581,"about_ca_system_score_gemma":0.000008159179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003923969,"about_ca_topic_score_gemma":0.000033231,"domain_scores_codex":[0.9992949,0.00005683485,0.0002930123,0.0001237753,0.00009467208,0.0001368356],"domain_scores_gemma":[0.9990802,0.0002795401,0.00007278936,0.0004913883,0.0000307536,0.0000453223],"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":[0.00003708453,0.00008211465,0.007247182,0.0002054913,0.00007699108,0.000001774347,0.02827569,0.01243403,0.02393876,0.01955525,0.00044357,0.907702],"study_design_scores_gemma":[0.0002259339,0.00002188326,0.001176681,0.0001295864,0.000005777644,0.000002582381,0.002082174,0.9835833,0.001769184,0.0002682426,0.01055068,0.0001839618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881604,0.01987012,0.06502069,0.01367774,0.00006837722,0.000651031,0.00001399054,0.001804419,0.01073319],"genre_scores_gemma":[0.9847882,0.002264838,0.01268548,0.0001450412,0.0000123828,0.00004289155,0.00003619759,0.00001798185,0.000006947471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9711493,"threshold_uncertainty_score":0.5209144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998458574","doi":"10.1007/s11277-010-0207-1","title":"A Generalized BER Prediction Method for Differential Chaos Shift Keying System Through Different Communication Channels","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Bit error rate; Additive white Gaussian noise; Gaussian; Communications system; Algorithm; CHAOS (operating system); Keying; Gaussian noise; Energy (signal processing); White noise; Telecommunications; Statistics; Mathematics; Decoding methods; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02490379299431639,"gpt":0.2933884679015723,"spread":0.2684846749072559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002452812,0.0002708459,0.0003708107,0.00007300493,0.001229923,0.0001720254,0.0008232426,0.00012462,0.0001583258],"category_scores_gemma":[0.00001021063,0.0002538425,0.0002582998,0.0001467404,0.0001240892,0.0002715037,0.0002666259,0.0004790814,0.00001130848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007431309,"about_ca_system_score_gemma":0.00005832734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007859669,"about_ca_topic_score_gemma":0.0002627509,"domain_scores_codex":[0.998401,0.0002917831,0.0004639855,0.0003134688,0.000220584,0.0003092118],"domain_scores_gemma":[0.9977189,0.0003585173,0.0002776696,0.001336394,0.0002151196,0.00009339811],"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":[0.0001082014,0.0007567061,0.00462415,0.0001189918,0.0004628438,1.096756e-7,0.01649671,0.00009741926,0.03220337,0.9239748,0.0005165121,0.02064017],"study_design_scores_gemma":[0.003520562,0.00006020163,0.004404563,0.000146996,0.0003100758,0.000003896695,0.002391397,0.9736764,0.002122576,0.006348209,0.006474083,0.000541064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3833035,0.0001427063,0.6103608,0.002898468,0.0005169389,0.001096518,0.0004870368,0.0001911486,0.001002873],"genre_scores_gemma":[0.9841231,0.00002228015,0.01139039,0.00005386697,0.0005946261,0.001249214,0.002325984,0.00004900408,0.0001915037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9735789,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3106848648","doi":"10.1007/s11277-020-07972-1","title":"Performance Investigation of 1.6 Tbps Hybrid WDM-PDM-OFDM-based Free Space Optics Transmission Link","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Optiwave Systems (Canada)","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Wavelength-division multiplexing; Electronic engineering; Bit error rate; Multiplexing; Transmission (telecommunications); Forward error correction; Quadrature amplitude modulation; Spectral efficiency; Free-space optical communication; Channel (broadcasting); Computer network; Optical communication; Telecommunications; Optics; Wavelength; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03690020813525489,"gpt":0.2314148477815587,"spread":0.1945146396463038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002098515,0.0002670876,0.0003502261,0.0001366917,0.0003036996,0.00003865013,0.002565642,0.0001711712,0.00003371579],"category_scores_gemma":[0.0001764195,0.0002912531,0.0001261973,0.0006280285,0.00063757,0.0002483954,0.0003693971,0.0009483651,0.00003600085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008382331,"about_ca_system_score_gemma":0.0001029739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117811,"about_ca_topic_score_gemma":0.000005757098,"domain_scores_codex":[0.9984907,0.0001324677,0.0005388336,0.0002185415,0.0003428088,0.0002766648],"domain_scores_gemma":[0.9968855,0.0004687756,0.0001691716,0.002085691,0.0002001303,0.000190735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002659766,0.0006553665,0.017511,0.004069091,0.0006300294,0.000007897815,0.01652479,0.07755326,0.4346517,0.06997222,0.006619608,0.3715391],"study_design_scores_gemma":[0.0004799158,0.00009162016,0.001667249,0.0001760934,0.00003202272,0.000001892859,0.0003360398,0.9122637,0.08169713,0.0002446459,0.002702261,0.0003074451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129706,0.00280051,0.02424855,0.05286075,0.00006224831,0.0005291273,0.0001327906,0.001967894,0.004427535],"genre_scores_gemma":[0.9450514,0.002955796,0.05149236,0.0001806881,0.00002750906,0.00007342412,0.0001443083,0.00006123944,0.00001327865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8347104,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972119094","doi":"10.1007/s11277-007-9262-7","title":"A seamless context-aware architecture for fourth generation wireless networks","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Queen's University","funders":"","keywords":"Computer science; Handover; Computer network; Context (archaeology); Wireless network; Quality of service; Wireless; Throughput; Network architecture; Heterogeneous network; Context awareness; Distributed computing; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02987970197242017,"gpt":0.2652328965234483,"spread":0.2353531945510282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008097246,0.0003840413,0.0004119064,0.0001353316,0.0006889552,0.0001148269,0.001026596,0.0003379885,0.00002643868],"category_scores_gemma":[0.00002258969,0.0004268446,0.0002395783,0.0003932934,0.0002685935,0.0001898093,0.0002041988,0.0008799808,0.000009929922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273456,"about_ca_system_score_gemma":0.00006050487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009066703,"about_ca_topic_score_gemma":0.009783336,"domain_scores_codex":[0.9979625,0.0001366407,0.0005386964,0.0003718621,0.0002902599,0.0006999919],"domain_scores_gemma":[0.9973603,0.0006576351,0.0001137711,0.001384599,0.000269791,0.0002139351],"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":[0.0005083259,0.00114364,0.003565866,0.0007422214,0.001062081,0.00001625842,0.01957086,0.1607886,0.007586239,0.04570924,0.0159258,0.7433808],"study_design_scores_gemma":[0.0009499447,0.00004881749,0.0007256579,0.00007596568,0.00007544395,0.00001905371,0.0007584799,0.9755275,0.0004391118,0.0002339492,0.02061869,0.0005274462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2072624,0.003396381,0.7852888,0.0006873297,0.0006940086,0.001148793,0.0001711866,0.0006055045,0.0007456538],"genre_scores_gemma":[0.9939255,0.0003898076,0.003285422,0.0003236173,0.0007795836,0.0003264233,0.000758353,0.0001114448,0.00009982139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8147388,"threshold_uncertainty_score":0.9998183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993843131","doi":"10.1007/s11277-010-0097-2","title":"Characterization of the Ultra-Wideband Channel in Confined Environments with Diffracting Rough Surfaces","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Non-line-of-sight propagation; Computer science; Delay spread; Path loss; Multipath propagation; Channel (broadcasting); Wideband; Fading; Telecommunications; Ultra-wideband; Wireless; Communications system; Electronic engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01078706918317066,"gpt":0.2078485281704,"spread":0.1970614589872293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422598,0.0001519539,0.0001878402,0.00009410447,0.000209214,0.00001985042,0.001256788,0.0001298587,0.00002128448],"category_scores_gemma":[0.00003437727,0.00012509,0.00004211411,0.0003839503,0.0004764793,0.0001684003,0.0001110439,0.0007435129,0.000005268598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000445185,"about_ca_system_score_gemma":0.00002749207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022222,"about_ca_topic_score_gemma":0.001468858,"domain_scores_codex":[0.9991657,0.00007715337,0.0002970097,0.0001265006,0.0001466539,0.0001869598],"domain_scores_gemma":[0.9980315,0.0002300524,0.0001263194,0.001551302,0.00003125609,0.00002955957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006925743,0.0001226939,0.01297784,0.00001426942,0.00003266981,1.578083e-7,0.001940403,0.0003027318,0.981626,0.001632053,0.000003964498,0.001340261],"study_design_scores_gemma":[0.002335193,0.00009220211,0.402729,0.0003952865,0.0001128493,0.0000657218,0.003011244,0.1012492,0.4763349,0.0004956701,0.01208021,0.001098466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959543,0.00008772415,0.0007455321,0.001308738,0.00005405631,0.0002645476,0.00003455925,0.00009170454,0.001458813],"genre_scores_gemma":[0.9989099,0.0003969717,0.0003575484,0.00003500067,0.000007669713,0.0001121428,0.0000746547,0.0000312915,0.0000748165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5052911,"threshold_uncertainty_score":0.5101024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2609203195","doi":"10.1007/s11277-017-4168-5","title":"Resource Allocation Schemes in D2D Communications: Overview, Classification, and Challenges","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Underlay; Resource allocation; Wireless; Communications system; Computer network; Cellular communication; Spectral efficiency; Interference (communication); Reuse; Frequency allocation; Telecommunications; Cellular network; Distributed computing; Channel (broadcasting); Signal-to-noise ratio (imaging)","retraction":null,"screen_n_in":null,"score":{"opus":0.1315080911339213,"gpt":0.3193995406447037,"spread":0.1878914495107824,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003733941,0.0001871791,0.0002262966,0.0001459404,0.0007878339,0.0001307187,0.001701157,0.0001324153,0.00000510393],"category_scores_gemma":[0.0001222291,0.0002237149,0.00003212331,0.0001434394,0.0004263757,0.0006058867,0.0004587761,0.0003322137,0.0000192197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478803,"about_ca_system_score_gemma":0.00004075256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005660118,"about_ca_topic_score_gemma":0.00135025,"domain_scores_codex":[0.9989023,0.0001452133,0.0003874556,0.0002281411,0.0001339028,0.0002029895],"domain_scores_gemma":[0.9955147,0.000265857,0.000180663,0.003811764,0.0001529686,0.00007404533],"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":[0.00004376217,0.0007159229,0.02146436,0.001988992,0.0002877886,0.000002731975,0.02771981,0.00230631,0.007357499,0.4440095,0.001019407,0.4930839],"study_design_scores_gemma":[0.0008471519,0.00001934525,0.03483281,0.0005961377,0.00003110175,0.00001549352,0.004727989,0.8334941,0.0001080756,0.0008837109,0.1238601,0.0005839571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07809217,0.6420692,0.04480926,0.1134057,0.0004604993,0.004007439,0.0002404777,0.00238252,0.1145327],"genre_scores_gemma":[0.8645982,0.1256218,0.009220904,0.00003455018,0.00002665102,0.0002638185,0.0001192699,0.00004194294,0.00007286865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8311878,"threshold_uncertainty_score":0.9122828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017769244","doi":"10.1007/s11277-010-0001-0","title":"Privacy Analysis of Forward and Backward Untraceable RFID Authentication Schemes","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"RFID technology advancements","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheme (mathematics); TRACE (psycholinguistics); Computer security; Cryptography; Authentication (law); Security analysis; Pseudorandom number generator; Algorithm; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01250431819951486,"gpt":0.2629629051053263,"spread":0.2504585869058114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264703,0.000106768,0.000207199,0.0002820322,0.0001302069,0.00001557473,0.0005655785,0.0001058422,0.00006817435],"category_scores_gemma":[0.00004218483,0.0001194529,0.00006205556,0.0006633265,0.0002921819,0.0001589941,0.0001669452,0.0003287535,0.000009386002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002270558,"about_ca_system_score_gemma":0.00001460385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145945,"about_ca_topic_score_gemma":0.0001410742,"domain_scores_codex":[0.9993682,0.00001808158,0.0002260512,0.0001271581,0.0001129749,0.0001475724],"domain_scores_gemma":[0.99862,0.0001071777,0.00006497226,0.001076797,0.00008466602,0.00004637036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001693815,0.000380496,0.1492686,0.0001659868,0.003667021,7.090741e-7,0.00486521,0.0007133802,0.6620502,0.1383129,0.0002833948,0.04027514],"study_design_scores_gemma":[0.000497443,0.00002481995,0.09852942,0.00003242255,0.0009951832,0.000004680438,0.0005438417,0.8594806,0.02051039,0.001355143,0.01763532,0.0003907718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935889,0.0004814499,0.004272524,0.000553795,0.00004305332,0.0001215344,0.00004284435,0.0001855852,0.0007103322],"genre_scores_gemma":[0.9828852,0.0005214465,0.01636208,0.0000119356,0.000005743382,0.00004806792,0.0000870599,0.00001685655,0.00006160235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8587672,"threshold_uncertainty_score":0.4871146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005422367","doi":"10.1007/s11277-013-1419-y","title":"Reputation-Based Cooperative Detection Model of Selfish Nodes in Cluster-Based QoS-OLSR Protocol","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Selfishness; Computer network; Network packet; Quality of service; Mobile ad hoc network; Routing protocol; Optimized Link State Routing Protocol; Wireless ad hoc network; Reputation; Distributed computing; Denial-of-service attack; Selection algorithm; Protocol (science); Selection (genetic algorithm); Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.0314357788660507,"gpt":0.286918579084791,"spread":0.2554828002187403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805988,0.0001887977,0.0002430263,0.0001899244,0.0002716239,0.0001340267,0.001648804,0.0001183792,0.00002045744],"category_scores_gemma":[0.00005545447,0.0001943624,0.00008675237,0.0007889721,0.0002186431,0.0005950744,0.0002667875,0.0003869084,0.00001941941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670109,"about_ca_system_score_gemma":0.0004090639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003662312,"about_ca_topic_score_gemma":0.0006515649,"domain_scores_codex":[0.9981302,0.0004261577,0.0005202844,0.000349425,0.000319587,0.0002543249],"domain_scores_gemma":[0.9969479,0.000576328,0.0002671337,0.00158273,0.0005411802,0.00008468779],"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":[0.00009799309,0.002057547,0.00297584,0.0002081852,0.0000542958,0.000001363449,0.00688061,0.895922,0.01412778,0.01806957,0.0007102349,0.05889456],"study_design_scores_gemma":[0.0009586827,0.00007721741,0.00106067,0.00009837205,0.000004413474,9.534468e-7,0.0001127679,0.9941116,0.002796129,0.0004785527,0.0001071071,0.0001935335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02919156,0.00001693051,0.9400854,0.003230419,0.00004130269,0.02599611,0.00001414324,0.0001885623,0.001235541],"genre_scores_gemma":[0.8683252,0.000001415994,0.05479447,0.0004485384,0.00001644267,0.07634599,0.00001947563,0.00001727975,0.00003123766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.885291,"threshold_uncertainty_score":0.792587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2897907285","doi":"10.1007/s11277-018-6039-0","title":"A Dual-Band Printed Antenna Design Based on Annular Koch Snowflake Slot Structure","year":2018,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Ground plane; Antenna (radio); Multi-band device; Patch antenna; Koch snowflake; Fractal antenna; Microstrip antenna; Optics; Computer science; Slot antenna; Physics; Acoustics; Coaxial antenna; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02902361368481398,"gpt":0.250654030274528,"spread":0.2216304165897141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001825799,0.0002505644,0.0002602373,0.0002074127,0.0004383222,0.00007467403,0.0006543529,0.0001269203,0.0002852415],"category_scores_gemma":[0.00003545703,0.0002378345,0.0001289802,0.0005541467,0.0003356006,0.00009863285,0.00005509774,0.0004043392,0.000106798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007908557,"about_ca_system_score_gemma":0.00005544769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002575788,"about_ca_topic_score_gemma":0.0001229369,"domain_scores_codex":[0.9987913,0.0001643804,0.0002525831,0.000231988,0.0002525489,0.0003072388],"domain_scores_gemma":[0.9982212,0.000184909,0.00005301106,0.001208377,0.0002087058,0.0001238522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002399854,0.0005623253,0.002217232,0.0001396671,0.0008244159,0.00003196384,0.0066634,0.002204582,0.9698551,0.0062093,0.004272449,0.006779637],"study_design_scores_gemma":[0.000351235,0.0000869756,0.001681512,0.00009958495,0.00006183678,0.000007560306,0.0003061867,0.992358,0.002609506,0.00009042333,0.002049338,0.0002978019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.19345,0.001203513,0.7911322,0.003297896,0.0002524827,0.000730962,0.000275592,0.001318629,0.008338743],"genre_scores_gemma":[0.994617,0.0001042139,0.004474174,0.0003180536,0.0001040111,0.00003083233,0.0001060487,0.00005436401,0.0001913246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9901534,"threshold_uncertainty_score":0.9698609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2343995454","doi":"10.1007/s11277-016-3305-x","title":"QoS-Aware and Load-Balance Routing for IEEE 802.11s Based Neighborhood Area Network in Smart Grid","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Quality of service; IEEE 802; Grid; Smart grid; Load balancing (electrical power); Routing (electronic design automation); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04155431879289023,"gpt":0.2809766415240472,"spread":0.2394223227311569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007513741,0.000239909,0.0003188606,0.00006433223,0.0005523851,0.0001701024,0.001844075,0.000129505,0.000008797698],"category_scores_gemma":[0.00004382707,0.0001972856,0.0001018031,0.0004527092,0.0001809264,0.0004080609,0.0004131522,0.0002647141,0.000008002849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470064,"about_ca_system_score_gemma":0.0002711252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007153842,"about_ca_topic_score_gemma":0.0005382259,"domain_scores_codex":[0.9980981,0.0002221997,0.000394017,0.0004712205,0.0002565982,0.0005578972],"domain_scores_gemma":[0.9965505,0.001454624,0.000194789,0.001470334,0.000187123,0.0001426412],"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":[0.0004317983,0.001308821,0.2766511,0.0003484068,0.0002175238,0.00002377459,0.006413626,0.002691132,0.002635137,0.2591257,0.03597385,0.4141791],"study_design_scores_gemma":[0.001929965,0.0001179101,0.01100115,0.0008314639,0.00001050717,0.000008641524,0.00006490463,0.9672495,0.00008923561,0.001897413,0.01630844,0.0004908559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01383369,0.001043126,0.9540383,0.023115,0.0006635442,0.005468173,0.0001094156,0.0003506579,0.001378112],"genre_scores_gemma":[0.9842887,0.0001375172,0.01123815,0.0006842604,0.0002676003,0.003240838,0.00001706772,0.00002537589,0.0001004854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704551,"threshold_uncertainty_score":0.8045073,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2773961688","doi":"10.1007/s11277-017-5101-7","title":"A Selected Mapping Technique Using Interleavers for PAPR Reduction in OFDM Systems","year":2017,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Orthogonal frequency-division multiplexing; Block (permutation group theory); Reduction (mathematics); Algorithm; Symbol (formal); Set (abstract data type); Rotation (mathematics); Power (physics); Channel (broadcasting); Mathematics; Telecommunications; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.07588695529661965,"gpt":0.3127727919887232,"spread":0.2368858366921035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629917,0.0001470705,0.0001980908,0.0002235646,0.0006263601,0.0001354467,0.0008191705,0.0001243837,0.000004451698],"category_scores_gemma":[0.00006866559,0.0001819726,0.0000614624,0.0002032423,0.00016926,0.0003195673,0.0001128469,0.0003414938,0.000005141948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004366194,"about_ca_system_score_gemma":0.00005713739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000351333,"about_ca_topic_score_gemma":0.00006097238,"domain_scores_codex":[0.9991373,0.00006358627,0.0002978298,0.0001630911,0.0001037445,0.000234437],"domain_scores_gemma":[0.9985084,0.00005992503,0.0001224792,0.001114368,0.0001445274,0.00005032936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004473986,0.0001869225,0.002169254,0.000620333,0.0002567547,0.000002870451,0.008249168,0.01326314,0.9609514,0.00613329,0.001669815,0.006452281],"study_design_scores_gemma":[0.0006239911,0.00002329546,0.002594393,0.0007252377,0.00002993241,0.0001674823,0.004495248,0.9780275,0.005287223,0.0001495981,0.007395195,0.0004809559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926926,0.0008885488,0.06339405,0.0007250676,0.001077218,0.001905428,0.00007955279,0.0007163771,0.0042878],"genre_scores_gemma":[0.9899596,0.0001173859,0.008997383,0.00000273045,0.00009503202,0.0006389887,0.00003431868,0.00004475653,0.0001098108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9647643,"threshold_uncertainty_score":0.7420625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999912143","doi":"10.1007/s11277-014-2182-4","title":"Recent Trends in Digital Convergence Information System","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Convergence (economics)","retraction":null,"screen_n_in":null,"score":{"opus":0.08858658120834416,"gpt":0.4015704242384913,"spread":0.3129838430301471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009997248,0.0001640145,0.0002738439,0.0004719581,0.0008000561,0.00005079618,0.0007353949,0.000202154,0.0001219472],"category_scores_gemma":[0.0002039471,0.0001666358,0.0000503907,0.001281936,0.000121168,0.001103264,0.0002902104,0.0007592695,0.001151515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008890035,"about_ca_system_score_gemma":0.0002291811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004123499,"about_ca_topic_score_gemma":0.000562373,"domain_scores_codex":[0.9974585,0.0004344752,0.001152838,0.0001698214,0.0003559623,0.0004283885],"domain_scores_gemma":[0.99714,0.0004713715,0.0004419742,0.001094346,0.0007369826,0.0001153155],"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":[0.00006818221,0.0001105892,0.1504178,0.0006349695,0.00002365099,5.656893e-7,0.02313699,0.000008227148,0.0000171674,0.4436229,0.007915662,0.3740433],"study_design_scores_gemma":[0.00165648,0.00009571658,0.1412076,0.001159857,0.000007989005,0.00001313878,0.03997226,0.07104214,0.000004399867,0.0003201417,0.7439662,0.0005541546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3770057,0.0002019255,0.001981854,0.0118866,0.001756813,0.00119654,0.0003733319,0.0006688453,0.6049284],"genre_scores_gemma":[0.9970202,0.00004914427,0.0001670746,0.0006451607,0.00009951768,0.0004030258,0.0007101212,0.00001923837,0.0008865134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7360505,"threshold_uncertainty_score":0.9996262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059695363","doi":"10.1007/s11277-013-1278-6","title":"SDR: A Stable Direction-Based Routing for Vehicular Ad Hoc Networks","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Link-state routing protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; Optimized Link State Routing Protocol; Distributed computing; Routing protocol; Wireless Routing Protocol; Network packet","retraction":null,"screen_n_in":null,"score":{"opus":0.02347306494167618,"gpt":0.2558307683675451,"spread":0.2323577034258689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004452641,0.0002129802,0.0002439888,0.00008003513,0.001052018,0.0003823354,0.002463836,0.0001326026,0.00004414516],"category_scores_gemma":[0.00004558546,0.000222473,0.0001794325,0.0005741828,0.0001436829,0.0005379063,0.000507816,0.0004101726,0.00005574445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014833,"about_ca_system_score_gemma":0.0001575569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001528044,"about_ca_topic_score_gemma":0.0002076794,"domain_scores_codex":[0.9982684,0.0002079053,0.0003451715,0.0004143261,0.0002488829,0.0005153384],"domain_scores_gemma":[0.9961414,0.0009808223,0.0001846697,0.00216725,0.0003646609,0.0001611649],"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":[0.00004111637,0.001279742,0.003436303,0.0001040052,0.0003430448,0.000003720949,0.004125219,0.06559547,0.002018229,0.1501852,0.02860666,0.7442613],"study_design_scores_gemma":[0.0003679917,0.00004835529,0.001221749,0.00005890296,0.00001435192,0.000003466642,0.0001043017,0.9723212,0.00003953114,0.0003640841,0.02520096,0.0002551219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01064691,0.004330402,0.9755312,0.006286905,0.0002568547,0.001118968,0.00001037443,0.0004922768,0.001326148],"genre_scores_gemma":[0.9273454,0.0002632287,0.06949406,0.0007684046,0.00008838462,0.001553804,0.00007037518,0.00003209293,0.0003842333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9166985,"threshold_uncertainty_score":0.9072184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999499494","doi":"10.1007/s11277-019-07011-8","title":"Routing Using Genetic Algorithm in a Wireless Sensor Network","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Distance-vector routing protocol; Algorithm; Destination-Sequenced Distance Vector routing; Ad hoc On-Demand Distance Vector Routing; Genetic algorithm; Dynamic Source Routing; Computer network; Wireless sensor network; Dijkstra's algorithm; Routing (electronic design automation); Routing protocol; Shortest path problem; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.04885597000630003,"gpt":0.2716745262644785,"spread":0.2228185562581784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003454994,0.0003423471,0.0004424769,0.0001221019,0.0006262303,0.0002379543,0.003350664,0.0001756222,0.00001083797],"category_scores_gemma":[0.00003515517,0.0003921524,0.0001561451,0.001976748,0.0002371026,0.0003344467,0.001602358,0.0008219806,0.0000382167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824404,"about_ca_system_score_gemma":0.0001854268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000259851,"about_ca_topic_score_gemma":0.00008426425,"domain_scores_codex":[0.9968036,0.0005550878,0.0006434651,0.0007092974,0.0004805593,0.0008079457],"domain_scores_gemma":[0.9971629,0.0004549665,0.0002608382,0.001673919,0.0001529869,0.0002944332],"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":[0.0000336454,0.0006621462,0.01407012,0.00006816865,0.0001682063,0.0002095595,0.01759274,0.6847225,0.004231873,0.07164571,0.000477612,0.2061177],"study_design_scores_gemma":[0.0004064309,0.00003337883,0.0017394,0.0001169777,0.00001311183,0.00003877454,0.0003150331,0.9961483,0.0000675146,0.00006464803,0.0006304833,0.0004259647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1811568,0.000925622,0.8102857,0.005836523,0.0002094783,0.0003328737,0.00001022257,0.0004407599,0.0008019797],"genre_scores_gemma":[0.6937442,0.0001683572,0.3047825,0.00100193,0.000208287,0.00002399684,0.00001449624,0.00003840907,0.00001780322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5125874,"threshold_uncertainty_score":0.999853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033708485","doi":"10.1007/s11277-011-0387-3","title":"A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Provisioning; Context (archaeology); Ubiquitous computing; Task (project management); Service (business); Relevance (law); Reputation; World Wide Web; Context awareness; Human–computer interaction; Service provider; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.09774780789140862,"gpt":0.2818962769179205,"spread":0.1841484690265119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004967214,0.0002146779,0.0002968425,0.0002299253,0.0004100563,0.0001054881,0.002380296,0.0001071336,0.00002339654],"category_scores_gemma":[0.00005012219,0.0002294607,0.0001358441,0.000673352,0.0001126069,0.0007653654,0.0007453508,0.0003021169,0.00004844275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964269,"about_ca_system_score_gemma":0.0001656818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004525151,"about_ca_topic_score_gemma":0.0002225126,"domain_scores_codex":[0.9981073,0.0003385632,0.0003726344,0.0005009343,0.0003139504,0.0003666423],"domain_scores_gemma":[0.9977933,0.0004012005,0.0002145134,0.001339162,0.0001307811,0.0001210519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004766223,0.01193517,0.05676836,0.0007759477,0.0007332666,0.00002516997,0.3613368,0.000051383,0.011524,0.2494822,0.001140363,0.3057508],"study_design_scores_gemma":[0.006310159,0.0002454929,0.03520142,0.0003525748,0.00007901199,0.0001358933,0.01801954,0.9044732,0.0007665482,0.0008750222,0.03202397,0.001517191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08332866,0.0009067442,0.9026552,0.002501184,0.0001339499,0.002568953,0.00007821055,0.0002818718,0.007545245],"genre_scores_gemma":[0.9317282,0.00006448751,0.06632492,0.000374766,0.00002057955,0.000944967,0.0000714596,0.0000239828,0.0004466436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9044218,"threshold_uncertainty_score":0.9357136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2340204220","doi":"10.1007/s11277-016-3311-z","title":"Cooperative Prediction for Cognitive Radio Networks","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Cognitive radio; Fusion; Channel (broadcasting); Process (computing); Artificial intelligence; Machine learning; Binary number; Data mining; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03095089217310144,"gpt":0.272824219243695,"spread":0.2418733270705936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002802019,0.0001611654,0.0001860883,0.00007674254,0.0007605862,0.000122239,0.0007927617,0.00007918104,0.00001296885],"category_scores_gemma":[0.0000804157,0.0001247875,0.0001151655,0.0003188322,0.0002639204,0.0004648359,0.0002608898,0.0001657666,0.0000134085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108118,"about_ca_system_score_gemma":0.00009390774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108622,"about_ca_topic_score_gemma":0.00008211767,"domain_scores_codex":[0.9987738,0.0001815381,0.0002282671,0.0003467427,0.0001516409,0.0003179889],"domain_scores_gemma":[0.9971758,0.001568416,0.00009985737,0.0006415189,0.0004082814,0.0001061999],"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":[0.00009862226,0.0002980977,0.001350376,0.000009000586,0.0002636443,0.000003930463,0.003057743,0.0000637896,0.002083229,0.3219514,0.003910687,0.6669095],"study_design_scores_gemma":[0.001564094,0.0002151713,0.004557168,0.0002908645,0.00004187071,0.00004345268,0.0002740836,0.9846889,0.000336143,0.001201734,0.00643733,0.0003491749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007289839,0.0006658087,0.9832494,0.005878164,0.0001830001,0.0004326371,0.00008185121,0.0001968577,0.002022391],"genre_scores_gemma":[0.992508,0.0006662055,0.005742552,0.0003151546,0.0002011992,0.0001340688,0.00004305208,0.00001761137,0.0003721676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9852182,"threshold_uncertainty_score":0.5849891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W359656693","doi":"10.1007/s11277-015-2327-0","title":"DNACK: False Data Detection Based on Negative Acknowledgment and Digital Signature on Mobile Ad-hoc Network","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia","keywords":"Computer science; Network packet; Intrusion detection system; Digital signature; Mobile ad hoc network; Computer network; Throughput; Packet drop attack; Flooding (psychology); Wireless ad hoc network; Signature (topology); False positive rate; Computer security; Routing protocol; Wireless; Artificial intelligence; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.05080773827731543,"gpt":0.2886475751810886,"spread":0.2378398369037732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579197,0.000245639,0.0002189184,0.0000809229,0.0004728901,0.0003659486,0.003010692,0.0001391621,0.000007369904],"category_scores_gemma":[0.00009137695,0.0002345087,0.00005077757,0.0005405333,0.0002178097,0.0006951881,0.001669696,0.0006766776,0.00008694158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756591,"about_ca_system_score_gemma":0.0001648728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000722528,"about_ca_topic_score_gemma":0.000270047,"domain_scores_codex":[0.9981366,0.0002689734,0.0002442572,0.0005965324,0.0004271889,0.0003264161],"domain_scores_gemma":[0.994867,0.0008551421,0.0001489104,0.00367641,0.0002031197,0.000249367],"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":[0.0002866577,0.001339775,0.0004215197,0.00002640755,0.0001242992,0.00001123133,0.004619471,0.02095315,0.0001013928,0.01192906,0.02260684,0.9375802],"study_design_scores_gemma":[0.0006459536,0.0005026385,0.0003821667,0.0001162185,0.00001294075,0.000004809268,0.0002954126,0.9444305,0.00004684271,0.000703125,0.05257257,0.0002868423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1755629,0.03429679,0.7146499,0.02152595,0.0037724,0.008555504,0.001252671,0.003314053,0.03706979],"genre_scores_gemma":[0.9920672,0.0002227019,0.006440335,0.0005967199,0.0001322615,0.0001945315,0.0001841562,0.00002575464,0.0001363977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372934,"threshold_uncertainty_score":0.9562989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047248717","doi":"10.1007/s11277-012-0611-9","title":"Reinforcement-Learning-Based Double Auction Design for Dynamic Spectrum Access in Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Cognitive radio; Reinforcement learning; Spectrum auction; Double auction; Computer network; Human–computer interaction; Telecommunications; Artificial intelligence; Common value auction; Auction theory; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.06118828066576151,"gpt":0.3227776629888646,"spread":0.261589382323103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007951868,0.000222464,0.0002536637,0.0002388225,0.0007148049,0.0002707475,0.001111372,0.0001088107,0.00001832492],"category_scores_gemma":[0.00003587776,0.0002459473,0.0001255765,0.0007648892,0.0001507328,0.0009756965,0.000315439,0.0005321496,0.00000673827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997124,"about_ca_system_score_gemma":0.0001303962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244965,"about_ca_topic_score_gemma":0.0003084303,"domain_scores_codex":[0.9982132,0.0002844503,0.0003315151,0.0003152415,0.0002076052,0.0006479872],"domain_scores_gemma":[0.9979028,0.001028994,0.0001977777,0.0005997577,0.0001286911,0.0001420335],"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":[0.0007961055,0.001062937,0.009005982,0.00005957084,0.0002414378,0.000006322529,0.006482022,0.9123213,0.0001242927,0.02475878,0.0005251424,0.04461616],"study_design_scores_gemma":[0.001484162,0.00009395941,0.005170506,0.0001205702,0.0000265819,0.00001233468,0.000170092,0.9919368,0.0001194352,0.0001815945,0.0003852147,0.000298752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007580898,0.0009012831,0.9880463,0.001842705,0.0002094643,0.0007843302,0.000002267397,0.0001533314,0.0004794005],"genre_scores_gemma":[0.994377,0.0002543049,0.004570081,0.0002211774,0.0001161436,0.0002001013,0.0001179375,0.00002700443,0.0001162841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9867961,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139306799","doi":"10.1023/a:1016025802932","title":"Mobile Location Estimation in CDMA Cellular Networks by Using Fuzzy Logic","year":2002,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Government of Canada","keywords":"Computer science; Estimator; Code division multiple access; Fuzzy logic; Base station; Division (mathematics); Path (computing); Path loss; SIGNAL (programming language); Algorithm; Mathematical optimization; Telecommunications; Statistics; Artificial intelligence; Computer network; Mathematics; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.02781952508323927,"gpt":0.2455407168566615,"spread":0.2177211917734222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065889,0.000145846,0.0001469944,0.0001425381,0.0001991223,0.00004405692,0.0004632774,0.0001680509,0.00006012445],"category_scores_gemma":[0.00001848606,0.0001675832,0.00003671663,0.0006354105,0.0001301443,0.0001921261,0.000077366,0.0003098549,0.00003650177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001922914,"about_ca_system_score_gemma":0.000009240939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004923799,"about_ca_topic_score_gemma":0.00003779083,"domain_scores_codex":[0.9991969,0.00005254569,0.0002738978,0.0001346773,0.000121494,0.0002204128],"domain_scores_gemma":[0.9992127,0.00005608551,0.00004804337,0.0005865724,0.00006269138,0.00003391573],"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":[0.000002626667,0.0001727906,0.0008480736,0.00005889093,0.00002682924,0.000001640445,0.002130083,0.9459521,0.004093213,0.006613377,0.002053106,0.03804727],"study_design_scores_gemma":[0.000168947,0.00001433429,0.00004640651,0.00003929754,0.000009521094,0.000002964058,0.0004882124,0.9970601,0.0007583657,0.0002887486,0.0009429669,0.0001801616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2314752,0.02587042,0.7332831,0.0004287304,0.0002317373,0.0007601306,0.00003578267,0.001585572,0.006329273],"genre_scores_gemma":[0.9948153,0.001408473,0.003339715,0.00004730402,0.00001348538,0.0001484089,0.0001384971,0.0000294576,0.00005929802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7633401,"threshold_uncertainty_score":0.6833845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049394514","doi":"10.1007/s11277-015-2546-4","title":"An Efficient Pairwise and Group Key Management Protocol for Wireless Sensor Network","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; Thompson Rivers University","funders":"","keywords":"Computer science; Key management; Computer network; Key (lock); Group key; Wireless sensor network; Node (physics); Communication in small groups; Overhead (engineering); Public-key cryptography; Distributed computing; Protocol (science); Key exchange; Computer security; Encryption","retraction":null,"screen_n_in":null,"score":{"opus":0.06191113284378005,"gpt":0.3259343972504468,"spread":0.2640232644066667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001063254,0.0003597169,0.0003628198,0.0001310189,0.0008297368,0.0004250352,0.002961681,0.0001629073,0.00000398098],"category_scores_gemma":[0.00001684105,0.0003675151,0.0001163419,0.0005815625,0.0003727746,0.0003763986,0.001156825,0.0003850558,0.00001842686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641889,"about_ca_system_score_gemma":0.00007956257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005349804,"about_ca_topic_score_gemma":0.0001053793,"domain_scores_codex":[0.9970981,0.0004699934,0.0004870405,0.0007143664,0.0005390408,0.0006913883],"domain_scores_gemma":[0.9957091,0.0004130634,0.0002362522,0.002831159,0.0003261566,0.0004842258],"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":[0.0002599191,0.002022166,0.001396162,0.0002784168,0.0001995828,0.00002164559,0.01344922,0.009737399,0.0001232196,0.8906649,0.008102689,0.07374462],"study_design_scores_gemma":[0.001904697,0.0002471017,0.0006458779,0.0001396069,0.00002615936,0.00003160134,0.001021651,0.962855,0.00001718233,0.001776617,0.03083915,0.0004954017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05411531,0.0004610537,0.7421169,0.01048543,0.0006757585,0.1843091,0.00007702502,0.002032567,0.005726851],"genre_scores_gemma":[0.6477883,0.00003687954,0.2021215,0.00075035,0.0002903689,0.1487695,0.00006973169,0.00006890223,0.0001045031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9531175,"threshold_uncertainty_score":0.9998777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157799283","doi":"10.1023/a:1008818509431","title":"Capacity Analysis for Connection Admission Control in Indoor Multimedia CDMA Wireless Communications","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Victoria Park","funders":"Government of Ontario","keywords":"Computer science; Code division multiple access; Base station; Computer network; Transmission (telecommunications); Channel (broadcasting); Bit error rate; Power control; Wireless; Interference (communication); Real-time computing; Telecommunications; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.06377920361723287,"gpt":0.3251875436706819,"spread":0.261408340053449,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001811476,0.0004021719,0.0007425501,0.0008988734,0.001520941,0.0003497206,0.01011845,0.0003195246,0.0001716612],"category_scores_gemma":[0.0001738974,0.0004373047,0.000447109,0.004008549,0.0007562077,0.0009670419,0.00114442,0.00122075,0.00009348953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431,"about_ca_system_score_gemma":0.0003401359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045982,"about_ca_topic_score_gemma":0.004973865,"domain_scores_codex":[0.9950537,0.001729548,0.001021582,0.0007519985,0.0006581501,0.000784984],"domain_scores_gemma":[0.9868379,0.003604323,0.0003264925,0.008223878,0.0006285944,0.0003787692],"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":[0.0004769173,0.005424467,0.07895513,0.0001282002,0.001969817,0.00000540897,0.01773918,0.003935722,0.005478222,0.1187894,0.002060033,0.7650375],"study_design_scores_gemma":[0.001928008,0.00006678577,0.02445037,0.00007156839,0.00009936192,0.000007230307,0.0002435171,0.9604083,0.00009071171,0.0005646284,0.01161293,0.0004566108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3731236,0.00334313,0.5388556,0.07084173,0.0002245607,0.004838966,0.0004855391,0.001191236,0.007095689],"genre_scores_gemma":[0.9532143,0.002206727,0.04163714,0.0005485521,0.00004782663,0.001521139,0.0004135318,0.00004277232,0.0003679484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9564726,"threshold_uncertainty_score":0.9998079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127571792","doi":"10.1007/s11277-006-9139-1","title":"A Novel Nonlinear Precoding Algorithm for the Downlink of Multiple Antenna Multi-User Systems","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Precoding; Algorithm; Telecommunications link; Transmitter; Interference (communication); Antenna (radio); Channel (broadcasting); Telecommunications; MIMO","retraction":null,"screen_n_in":null,"score":{"opus":0.03442310715709587,"gpt":0.2655837089323305,"spread":0.2311606017752346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001989138,0.0001590952,0.0002219434,0.00007256534,0.0002889851,0.00003477821,0.0005873982,0.00008698842,0.000001828402],"category_scores_gemma":[0.00003155935,0.0001382104,0.0001006552,0.0002181788,0.0001111571,0.000151652,0.00008049973,0.000178539,0.000003888043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000848604,"about_ca_system_score_gemma":0.00002354277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003591885,"about_ca_topic_score_gemma":0.0003802187,"domain_scores_codex":[0.9990969,0.00003116614,0.0004200384,0.0001356042,0.0001115937,0.0002046961],"domain_scores_gemma":[0.998179,0.0006569286,0.0001284455,0.0007661146,0.0002387447,0.00003076862],"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":[0.00002390353,0.0007682592,0.001473916,0.0006266283,0.0004261156,4.890254e-7,0.002799746,0.8307948,0.1340688,0.007689467,0.0004674287,0.0208604],"study_design_scores_gemma":[0.0006860623,0.000009330706,0.0002161625,0.0001037836,0.00003138953,0.000007306325,0.0007676062,0.9936943,0.0003395013,0.000002867982,0.003989964,0.000151744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001263975,0.00286842,0.993856,0.00009358861,0.0001761695,0.0008428944,0.0005742966,0.0001885126,0.0001361887],"genre_scores_gemma":[0.7177274,0.0002390554,0.280947,0.000006578983,0.00009787698,0.0004022665,0.0002278992,0.00005493336,0.000297019],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7164634,"threshold_uncertainty_score":0.5636055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3158802617","doi":"10.1007/s11277-021-08511-2","title":"A Real-time Posture Monitoring System Towards Bad Posture Detection","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université TÉLUQ; Université Laval","funders":"Ecole Supérieure des Communications de Tunis","keywords":"Computer science; Android (operating system); Inertial measurement unit; Real-time computing; Mobile phone; Embedded system; Cloud server; Cloud computing; Mobile device; Human–computer interaction; Artificial intelligence; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02150484705037443,"gpt":0.306470778458326,"spread":0.2849659314079516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001761063,0.000202349,0.0002477815,0.00008415762,0.0005379909,0.00007285642,0.000604743,0.0002247271,0.0001419435],"category_scores_gemma":[0.00002081815,0.0002204164,0.0002098591,0.0003377683,0.0001066747,0.0000947493,0.0002721814,0.00047536,0.0003289652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932368,"about_ca_system_score_gemma":0.0001178679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465705,"about_ca_topic_score_gemma":0.0004761803,"domain_scores_codex":[0.9985906,0.0003113192,0.0002765412,0.0003514028,0.0001660342,0.0003040255],"domain_scores_gemma":[0.9980186,0.0001126266,0.0001165796,0.001399237,0.0002358909,0.0001170302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002676376,0.001498155,0.009885527,0.0002961722,0.001478257,0.00007845987,0.03050674,0.00001595305,0.7058756,0.08941876,0.00158931,0.1590894],"study_design_scores_gemma":[0.001646469,0.0001856872,0.9303298,0.0003482645,0.000267322,0.0002860648,0.04844253,0.00233895,0.001885507,0.0001878677,0.0130792,0.001002334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215304,0.002070989,0.00008842644,0.002111488,0.000595988,0.000208689,0.00007929529,0.0002382977,0.07307648],"genre_scores_gemma":[0.9957814,0.0005378241,0.0008045093,0.00006131481,0.0001660863,0.0001390148,0.0001525372,0.00004779427,0.002309521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9204443,"threshold_uncertainty_score":0.8988321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088255890","doi":"10.1007/s11277-010-0010-z","title":"A Distributed Message-passing Approach for Clustering Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Computer science; Computer network; Cognitive radio; Overhead (engineering); Cluster analysis; Distributed computing; Wireless ad hoc network; Node (physics); Key (lock); Wireless network; Wireless; Artificial intelligence; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02845139971856339,"gpt":0.273465275818748,"spread":0.2450138761001846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004715724,0.0002304087,0.0002793249,0.00009355562,0.001170108,0.0004297963,0.001389368,0.0001387528,0.000007045425],"category_scores_gemma":[0.00007886696,0.00024172,0.0001783664,0.0005094628,0.0003091926,0.0003921674,0.0006034768,0.000774332,0.000002668885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006090347,"about_ca_system_score_gemma":0.00009511079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003462414,"about_ca_topic_score_gemma":0.0002025509,"domain_scores_codex":[0.9984362,0.0001454855,0.0002907,0.0004481065,0.0001974405,0.0004820612],"domain_scores_gemma":[0.997493,0.0009275317,0.0001584388,0.0009842697,0.0002770617,0.0001597301],"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":[0.0002128038,0.001716753,0.002465304,0.0001353217,0.0007966272,0.0000229054,0.01097586,0.003704712,0.008026373,0.2671661,0.002906455,0.7018708],"study_design_scores_gemma":[0.0005852044,0.00003074344,0.001618422,0.00005446208,0.00003568313,0.0000696755,0.0003849779,0.9955601,0.00005571774,0.0002492323,0.001045769,0.0003100612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00823613,0.0003544633,0.9860077,0.001363409,0.0002007057,0.0004522499,0.00004910077,0.0002279399,0.003108339],"genre_scores_gemma":[0.8918534,0.0000691563,0.107232,0.0001891808,0.000203148,0.00008836767,0.0002940033,0.00002601655,0.00004477631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9918553,"threshold_uncertainty_score":0.9857054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2512165098","doi":"10.1007/s11277-016-3580-6","title":"Performance of Energy-Efficient Cooperative MAC Protocol with Power Backoff in MANETs","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Network packet; Transmission (telecommunications); Power control; Efficient energy use; Energy consumption; Distributed coordination function; Wireless ad hoc network; Protocol (science); Mobile ad hoc network; Network allocation vector; Transmitter power output; Exponential backoff; IEEE 802.11; Power (physics); Wireless; Wireless network; Throughput; Channel (broadcasting); Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03021873065278675,"gpt":0.2814027932236493,"spread":0.2511840625708625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000324251,0.0001790618,0.0002255146,0.0001636059,0.0002800968,0.00004283238,0.002343123,0.00005201732,0.00007377],"category_scores_gemma":[0.00001691701,0.0001208608,0.00004335941,0.0007643318,0.0003661524,0.0002995006,0.0008648662,0.0001864581,0.00001863636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113064,"about_ca_system_score_gemma":0.0002042633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001315081,"about_ca_topic_score_gemma":0.0002348404,"domain_scores_codex":[0.9984763,0.0003522811,0.0003636427,0.0002831449,0.0002737431,0.0002508379],"domain_scores_gemma":[0.9972346,0.0003019948,0.0001697816,0.001859377,0.000357532,0.00007666954],"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":[0.000378024,0.002499862,0.02904321,0.00007369141,0.0001314878,0.00000777397,0.01192857,0.0009950692,0.02464993,0.7055959,0.0008319423,0.2238645],"study_design_scores_gemma":[0.004975763,0.001049299,0.05094109,0.001747673,0.00001242662,0.00004885722,0.0004022222,0.8909029,0.009260962,0.00009064854,0.03945884,0.001109291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7560452,0.0006020383,0.1326106,0.02185938,0.0001258307,0.02890702,0.00005392418,0.0004415003,0.05935453],"genre_scores_gemma":[0.9846243,0.0002205679,0.004382265,0.0001453799,0.000006172823,0.01024611,0.000004328265,0.00001298993,0.0003579076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8899078,"threshold_uncertainty_score":0.4928562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068062962","doi":"10.1007/s11277-008-9503-4","title":"Antenna and User Subset Selection in Downlink Multiuser Orthogonal Space-Division Multiplexing","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Dirty paper coding; Telecommunications link; Scheduling (production processes); Algorithm; Precoding; Mathematical optimization; MIMO; Multi-user; Beamforming; Theoretical computer science; Mathematics; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02722946128996773,"gpt":0.2515034808857886,"spread":0.2242740195958209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001384436,0.0001819446,0.0002022008,0.0002021006,0.0003217333,0.00002291226,0.0002309597,0.0001182036,0.00001321503],"category_scores_gemma":[0.00003656053,0.0002046386,0.00004054173,0.000416761,0.0001232814,0.0003880292,0.0001009598,0.0003856209,0.00001547528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138449,"about_ca_system_score_gemma":0.00002577082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064516,"about_ca_topic_score_gemma":0.001136629,"domain_scores_codex":[0.9990376,0.00008849979,0.0002991376,0.0002018911,0.0001337215,0.0002391171],"domain_scores_gemma":[0.9992785,0.0001604402,0.00005602345,0.0003359634,0.00009320144,0.00007589943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007042088,0.0004272045,0.5635921,0.0002309333,0.0001306209,0.0000188909,0.01725937,0.2812273,0.1269544,0.003646943,0.0005377991,0.005904101],"study_design_scores_gemma":[0.0005908899,0.0000134538,0.07618293,0.00009601893,0.000004610305,0.00004796384,0.0003628772,0.9213535,0.0001983193,0.00001313736,0.0008945569,0.0002417114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881292,0.001149617,0.1160285,0.0002752134,0.00007375831,0.0003822788,0.0000454367,0.0003820411,0.0003710535],"genre_scores_gemma":[0.9776177,0.00136497,0.02065111,0.00002400101,0.00002838187,0.00006813842,0.000113109,0.00004610556,0.00008646274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6401262,"threshold_uncertainty_score":0.8344919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005583142","doi":"10.1007/s11277-010-0074-9","title":"Denial of Service Prevention for 5G","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Aalborg Universitet; Federation for the Humanities and Social Sciences","keywords":"Computer science; Denial-of-service attack; Quality of service; Computer network; Wireless; Bandwidth (computing); Usability; Bit error rate; Computer security; Telecommunications; Channel (broadcasting); The Internet","retraction":null,"screen_n_in":null,"score":{"opus":0.0346135071362218,"gpt":0.3055045667692964,"spread":0.2708910596330746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002560797,0.0001290759,0.0001868035,0.0001069685,0.0001719166,0.00002345168,0.0013416,0.0001412857,0.00003210182],"category_scores_gemma":[0.00003340676,0.0001540152,0.0001067371,0.000264056,0.0001358593,0.0001704386,0.0001084012,0.0004165616,0.00001079067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000279508,"about_ca_system_score_gemma":0.00004886623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006751865,"about_ca_topic_score_gemma":0.001695786,"domain_scores_codex":[0.9992242,0.00004907849,0.0003264679,0.0001067873,0.0001377884,0.0001556734],"domain_scores_gemma":[0.9977573,0.0002799239,0.00008745186,0.001516612,0.0003032318,0.00005546672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004897502,0.000669373,0.001029221,0.0006451934,0.0002281044,1.811633e-7,0.00812649,0.0001611001,0.6901999,0.2191074,0.003188737,0.07659539],"study_design_scores_gemma":[0.001848878,0.0001553267,0.005725151,0.0003280568,0.0001592782,0.00003070456,0.001254548,0.650282,0.2059841,0.01551824,0.1174961,0.001217654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580696,0.0007126417,0.01762971,0.004427897,0.0002747189,0.001205651,0.0001938387,0.001342418,0.01614354],"genre_scores_gemma":[0.9670219,0.000201679,0.03208771,0.00006119923,0.00003934212,0.0003507447,0.0001589007,0.00004041156,0.00003812458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6501209,"threshold_uncertainty_score":0.6280557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985356180","doi":"10.1007/s11277-005-8314-0","title":"Analysis of Sub-Carrier Multiplexed Radio Over Fiber Link for the Simultaneous Support of WLAN and WCDMA Systems","year":2005,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Telecommunications link; Radio over fiber; Base station; Throughput; Code division multiple access; Cellular network; Wi-Fi; Wireless; Wireless network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02968638346853706,"gpt":0.2947097893073672,"spread":0.2650234058388301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188262,0.0001476371,0.0004047507,0.0001360408,0.0003033823,0.00007705997,0.001567229,0.00009452169,0.00001849256],"category_scores_gemma":[0.00004402848,0.0001142007,0.000214467,0.0006485274,0.0002786602,0.0001603048,0.0003455819,0.0001726629,0.000001461019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003138179,"about_ca_system_score_gemma":0.00008141898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001928371,"about_ca_topic_score_gemma":0.0003419244,"domain_scores_codex":[0.9986846,0.0001543773,0.000464505,0.0002334752,0.000252574,0.000210482],"domain_scores_gemma":[0.9951988,0.002584368,0.0003146876,0.001563365,0.0002619083,0.00007688822],"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":[0.0004553536,0.001369255,0.02714541,0.0007190459,0.009709642,0.00000577205,0.04184167,0.1852363,0.01813784,0.1318735,0.005202351,0.5783038],"study_design_scores_gemma":[0.0003984256,0.00005571718,0.002830842,0.00002883758,0.0002203285,0.000003604918,0.00009435545,0.9666265,0.0001286415,0.00001473317,0.02946662,0.0001314089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5068251,0.01880737,0.4070081,0.02980745,0.0004877556,0.03168764,0.002802287,0.000515579,0.002058686],"genre_scores_gemma":[0.9940009,0.0002132035,0.004400735,0.00009554131,0.00006404377,0.0009605521,0.00004355123,0.00001275187,0.000208726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7813901,"threshold_uncertainty_score":0.4656968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137634826","doi":"10.1007/s11277-012-0517-6","title":"Cognitive Femtocell: A Cost-Effective Approach Towards 4G Autonomous Infrastructure Networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Macrocell; Computer science; Computer network; Underlay; Cognitive radio; Throughput; Base station; Cellular network; Telecommunications link; Interference (communication); Channel (broadcasting); Wireless; Telecommunications; Signal-to-noise ratio (imaging)","retraction":null,"screen_n_in":null,"score":{"opus":0.02241974099303213,"gpt":0.2690133066203031,"spread":0.246593565627271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001935663,0.0002768318,0.0002817002,0.0001017812,0.0003190979,0.00004600745,0.0004775446,0.0001974396,0.00002965712],"category_scores_gemma":[0.00003378384,0.0002957586,0.00009140791,0.0003903943,0.000175998,0.0004273572,0.0001815926,0.0006288426,0.00003005689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321882,"about_ca_system_score_gemma":0.00003584336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002576474,"about_ca_topic_score_gemma":0.00001324837,"domain_scores_codex":[0.9988155,0.000154633,0.0002664747,0.0001807331,0.0001368787,0.0004457156],"domain_scores_gemma":[0.9987376,0.0002168372,0.0000872085,0.0006312808,0.0001509994,0.0001760717],"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":[0.0000555781,0.000435752,0.005633302,0.0002341442,0.0005889256,0.00000134546,0.02402481,0.6988869,0.000552914,0.005520978,0.001442778,0.2626225],"study_design_scores_gemma":[0.0004706404,0.0000180402,0.003953273,0.00006446725,0.00006628425,0.00003446115,0.002130629,0.989783,0.0001161564,0.00002103721,0.002947554,0.0003944431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009224485,0.004297026,0.9552805,0.0000546223,0.0002862471,0.002301785,0.0001056576,0.0007147255,0.02773499],"genre_scores_gemma":[0.9868564,0.0003047956,0.01014153,0.00005974752,0.0001950467,0.001795377,0.0004741029,0.00008389742,0.00008912827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9776319,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057847169","doi":"10.1007/s11277-013-1057-4","title":"Packet Delay in UAV Wireless Networks Under Non-saturated Traffic and Channel Fading Conditions","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Computer science; Fading; Computer network; Channel (broadcasting); Network packet; Wireless; Wireless network; Real-time computing; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02179871210987819,"gpt":0.2571204735207905,"spread":0.2353217614109124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003074685,0.0002868504,0.0003320598,0.0002042807,0.0006595257,0.0003697996,0.001921451,0.0002132715,0.00003506672],"category_scores_gemma":[0.000009934826,0.0003004098,0.00007956484,0.001037269,0.0003799954,0.0009034207,0.0007787938,0.000831423,0.0000550138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291829,"about_ca_system_score_gemma":0.00009588752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002987156,"about_ca_topic_score_gemma":0.001092215,"domain_scores_codex":[0.9979767,0.000292491,0.0004361114,0.0004920936,0.0002330143,0.0005696555],"domain_scores_gemma":[0.9972978,0.0006119188,0.0001637808,0.001525304,0.000183562,0.0002176693],"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":[0.00005675126,0.003238125,0.00637471,0.0001956008,0.000783339,0.00009666939,0.04948768,0.2652621,0.005075641,0.4468411,0.03289775,0.1896906],"study_design_scores_gemma":[0.0004766327,0.00003191993,0.01256379,0.0001214942,0.00001055777,0.00004729319,0.000670426,0.9847477,0.00001000759,0.0008464266,0.0001299875,0.0003437665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868239,0.001548574,0.1190676,0.007988178,0.0002388031,0.00108582,0.00001929116,0.0003459573,0.001466739],"genre_scores_gemma":[0.9957032,0.000805021,0.001993434,0.0006862461,0.00006054851,0.0005080312,0.000112835,0.0000321809,0.00009845476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7194856,"threshold_uncertainty_score":0.9999448,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061215643","doi":"10.1007/s11277-015-2393-3","title":"A Reliable Geocast Routing Protocol for Vehicular Ad Hoc Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Geocast; Computer network; Routing protocol; Wireless ad hoc network; Protocol (science); Wireless Routing Protocol; Vehicular ad hoc network; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Mobile ad hoc network; Routing (electronic design automation); Telecommunications; Wireless; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.05615216867013111,"gpt":0.2977192950837163,"spread":0.2415671264135852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006094648,0.0002745895,0.0002962888,0.00006990048,0.0003795332,0.0001160371,0.0009552591,0.0001953283,0.00001931998],"category_scores_gemma":[0.00004400098,0.0002965873,0.0001538285,0.0003446871,0.0001228681,0.0002187068,0.0002542226,0.0005785934,0.00004505807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609655,"about_ca_system_score_gemma":0.0001097031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002313115,"about_ca_topic_score_gemma":0.0002275013,"domain_scores_codex":[0.998432,0.00008544098,0.0003846931,0.0002478086,0.0002571949,0.0005928352],"domain_scores_gemma":[0.9979401,0.0001712213,0.00008666269,0.001294889,0.0002434841,0.0002636313],"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":[0.00005609225,0.0001224982,0.0002691084,0.00009008543,0.0001250562,0.000003943062,0.001162381,0.9613754,0.000134433,0.001759798,0.02182696,0.01307423],"study_design_scores_gemma":[0.0008962096,0.00004726683,0.00006185145,0.0001201733,0.00002294462,0.00001690245,0.0002767397,0.7493066,0.00002055238,0.00009289217,0.248876,0.0002618113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.06235429,0.01660274,0.3603918,0.007327545,0.001475357,0.5050042,0.0003544076,0.007895649,0.038594],"genre_scores_gemma":[0.6914528,0.0001143123,0.01718569,0.000185133,0.0002993719,0.2898822,0.0003172208,0.0001822741,0.0003810684],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.6290985,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048944357","doi":"10.1007/s11277-020-07719-y","title":"Efficient Use of UAVs for Public Safety in Disaster and Crisis Management","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Cover (algebra); Task (project management); Work (physics); Square (algebra); Disaster area; Emergency management; Crisis management; Operations research; Mathematical optimization; Computer security; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05595873226495893,"gpt":0.2454959522578657,"spread":0.1895372199929068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005613695,0.00006449041,0.00009509941,0.00005542732,0.00007471087,0.00002547567,0.0001790813,0.00002757053,0.000007893074],"category_scores_gemma":[0.000006404172,0.00007008766,0.00002651668,0.0002291715,0.00004329157,0.00005310542,0.00009379183,0.00006287132,0.000001733876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002732169,"about_ca_system_score_gemma":0.000004894505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118036,"about_ca_topic_score_gemma":0.00003702189,"domain_scores_codex":[0.9995655,0.00001667167,0.00017982,0.00009179306,0.00005766087,0.00008858014],"domain_scores_gemma":[0.99952,0.00007954975,0.00002449045,0.0002932783,0.0000384118,0.00004429518],"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":[0.0001202379,0.0009933102,0.01154117,0.001546454,0.0004268111,8.692964e-7,0.04168362,0.4457257,0.002660039,0.3951189,0.005577589,0.09460533],"study_design_scores_gemma":[0.0002610737,0.000007776379,0.00345966,0.00001342286,0.00001367175,2.446812e-7,0.001154986,0.9852741,0.00001614875,0.00002212601,0.009698725,0.00007807087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5802271,0.001013679,0.3950475,0.01927686,0.00003602839,0.001497847,0.0003435042,0.0002041627,0.002353341],"genre_scores_gemma":[0.9785348,0.0004465674,0.02067778,0.0001004939,0.00000551122,0.0001370029,0.0000748077,0.00001377187,0.000009247407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5395484,"threshold_uncertainty_score":0.2858092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2464414809","doi":"10.1007/s11277-016-3489-0","title":"Local Tuning of a Site-Specific Propagation Path Loss Model for Microcell Environments","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Microcell; Computer science; Reduction (mathematics); Path (computing); Path loss; Mean squared error; Process (computing); Algorithm; Statistics; Telecommunications; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0414944022174202,"gpt":0.2374657265582762,"spread":0.195971324340856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001566153,0.000131324,0.0001486586,0.00007323578,0.0001413508,0.00001198774,0.0003128353,0.0000696891,0.00002138783],"category_scores_gemma":[0.000006669276,0.0001148245,0.00008278342,0.00006416933,0.0001456263,0.00009356178,0.0000781661,0.00009945878,0.00003333344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106468,"about_ca_system_score_gemma":0.00002149124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003367426,"about_ca_topic_score_gemma":0.00001156421,"domain_scores_codex":[0.9992068,0.00002981058,0.0003019377,0.0001487427,0.0001360215,0.0001766532],"domain_scores_gemma":[0.9992043,0.0001046738,0.0000685489,0.0005094886,0.00005347878,0.00005950279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001945818,0.00007536946,0.00006712058,0.00006465759,0.00002674638,1.38213e-7,0.002025452,0.01049411,0.9632738,0.0009369498,0.0001506025,0.02286555],"study_design_scores_gemma":[0.0004384133,0.00001688489,0.00002123787,0.00009460589,0.00001393415,0.000001787513,0.0001306933,0.9491745,0.04802629,0.0001931539,0.001735676,0.0001528574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1372396,0.0004538078,0.8613803,0.0001874442,0.00002125658,0.0002338584,0.0001184126,0.00005958782,0.0003056776],"genre_scores_gemma":[0.9828832,0.00103679,0.01551479,0.00002498103,0.00001459793,0.0001082756,0.00008647592,0.00003871225,0.0002922006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9386804,"threshold_uncertainty_score":0.4682409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3055882420","doi":"10.1007/s11277-020-07707-2","title":"Energy Cooperation with Sleep Mechanism in Renewable Energy Assisted Cellular HetNets","year":2020,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Heterogeneous network; Computer science; Renewable energy; Efficient energy use; Sleep mode; Femto-; Cellular network; Base station; Distributed computing; Grid; Mathematical optimization; Computer network; Wireless; Wireless network; Telecommunications; Electrical engineering; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.01994926062381341,"gpt":0.2107835903191292,"spread":0.1908343296953158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006477728,0.0001918236,0.0002250729,0.00009436844,0.0001645587,0.00004431043,0.0004199162,0.0001055973,0.0000302608],"category_scores_gemma":[0.00000898574,0.0002068419,0.00003397473,0.000587281,0.00004994137,0.0002643531,0.00008162201,0.0001694084,0.00000736669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442974,"about_ca_system_score_gemma":0.00003949856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007185873,"about_ca_topic_score_gemma":0.005126285,"domain_scores_codex":[0.9990222,0.0001128908,0.000294687,0.0002112331,0.0001441572,0.000214782],"domain_scores_gemma":[0.9991124,0.00005988783,0.00006139586,0.0005548891,0.0001020154,0.00010939],"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":[0.00004527431,0.0001016399,0.00007524155,0.00005815484,0.00007714894,0.00001055864,0.002159294,0.8749368,0.08735572,0.03099944,0.0004295706,0.003751217],"study_design_scores_gemma":[0.0004629291,0.00004117053,0.00002071432,0.00005253076,0.00001336719,0.000006789566,0.0003138573,0.9853719,0.009386518,0.00007558662,0.003999881,0.0002547832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003722882,0.0008821256,0.9892231,0.0007762909,0.0000504977,0.0001317294,0.00002058367,0.0003775427,0.004815306],"genre_scores_gemma":[0.9892887,0.0003382242,0.009347895,0.0002182435,0.00004267706,0.0001564851,0.000379534,0.00006520574,0.0001629886],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9855658,"threshold_uncertainty_score":0.843477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032226017","doi":"10.1007/s11277-011-0451-z","title":"Transceiver Design for MIMO Systems with Improper Modulations","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transceiver; Computer science; Transmitter; Keying; Channel state information; Channel (broadcasting); MIMO; Joint (building); Binary number; Telecommunications; Algorithm; Wireless; Mathematics; Arithmetic","retraction":null,"screen_n_in":null,"score":{"opus":0.09506857704939306,"gpt":0.2603700960402095,"spread":0.1653015189908164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795599,0.0002288415,0.0002352484,0.0001316959,0.0004109198,0.00003778455,0.001134735,0.0001089148,0.0000230948],"category_scores_gemma":[0.000008338042,0.0002159008,0.00008011005,0.000264619,0.0002488332,0.0003325833,0.00005641841,0.0002860151,0.00001597356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044947,"about_ca_system_score_gemma":0.000044373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004328399,"about_ca_topic_score_gemma":0.00005446802,"domain_scores_codex":[0.9989893,0.0001001497,0.0003084831,0.0001852898,0.0001447953,0.0002719629],"domain_scores_gemma":[0.9977511,0.0002250174,0.00006830635,0.001617829,0.0002445902,0.00009313647],"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":[0.0009697149,0.003068577,0.003435183,0.001663549,0.002906468,0.000009103331,0.09768656,0.1583992,0.108982,0.4770733,0.00858903,0.1372173],"study_design_scores_gemma":[0.0007796539,0.0001733306,0.001175537,0.0001818278,0.0001024108,0.00002284665,0.001230717,0.9788788,0.005746484,0.0008504231,0.01011004,0.0007479067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006754237,0.00137893,0.9810801,0.0001457597,0.00005007071,0.001266409,0.00009373851,0.00122458,0.008006219],"genre_scores_gemma":[0.8306067,0.0005502829,0.1668422,0.0000220704,0.00001643716,0.001616762,0.00007138254,0.00008484267,0.0001893112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8238525,"threshold_uncertainty_score":0.8804181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W318841307","doi":"10.1023/a:1008927121322","title":"Simple and Efficient Techniques to Implement a Self-Reconfigurable ARQ System in a Slowly Varying Mobile Radio Environment","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"University of Victoria; Indian Institute of Science","keywords":"Computer science; Channel (broadcasting); Interval (graph theory); Network packet; Algorithm; Real-time computing; Computer network; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02096574171831562,"gpt":0.2820408561528159,"spread":0.2610751144345003,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001076093,0.0002511398,0.0003301378,0.0003054627,0.0006933648,0.0002645158,0.003349331,0.00009249229,0.00009881762],"category_scores_gemma":[0.000007926863,0.0002693233,0.00007496111,0.0007409331,0.0001081365,0.0002370011,0.00115453,0.0005024329,0.0001176914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006598631,"about_ca_system_score_gemma":0.0001285168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004962459,"about_ca_topic_score_gemma":0.0001116653,"domain_scores_codex":[0.997241,0.0005703015,0.0005624131,0.0005505204,0.00048534,0.0005904875],"domain_scores_gemma":[0.9960172,0.0004662473,0.00009853782,0.003080807,0.0000685864,0.0002686433],"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":[0.00008007265,0.002456436,0.00233705,0.0002495311,0.0001930598,0.00002558056,0.0370778,0.01316124,0.006313033,0.07951172,0.001551228,0.8570433],"study_design_scores_gemma":[0.0005491033,0.0001576236,0.001887433,0.0001951587,0.00001062253,0.00004872315,0.000775247,0.917082,0.0007942098,0.00008208607,0.07793056,0.0004872581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049792,0.005445426,0.04842885,0.008460483,0.00006585732,0.006121625,0.00008770113,0.001772541,0.02463832],"genre_scores_gemma":[0.9613838,0.001454582,0.03490929,0.0001676785,0.00001922285,0.001897895,0.00002736405,0.00002725869,0.0001129337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9039207,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307156964","doi":"10.1007/s11277-022-09970-x","title":"A Lossless Distributed Data Compression and Aggregation Methods for Low Resources Wireless Sensors Platforms","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Computer science; Network packet; Wireless sensor network; Redundancy (engineering); Data aggregator; Lossless compression; Computer network; Energy consumption; Data redundancy; Wireless; Real-time computing; Data compression; Lossy compression; Bandwidth (computing); Distributed computing; Efficient energy use; Database; Telecommunications; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.05927304702220848,"gpt":0.3404229727313122,"spread":0.2811499257091037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001507782,0.0003203486,0.0004174055,0.0002090546,0.002906417,0.000302458,0.006020809,0.0001174328,0.00001182803],"category_scores_gemma":[0.00008600334,0.0003271524,0.0001034564,0.0008980266,0.0004019773,0.00064493,0.007129464,0.0006829756,0.000002264037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687268,"about_ca_system_score_gemma":0.0001037978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182296,"about_ca_topic_score_gemma":0.00005848758,"domain_scores_codex":[0.9968577,0.0006604739,0.0005427788,0.0009024227,0.0005150004,0.0005216347],"domain_scores_gemma":[0.9931347,0.001981468,0.0004198063,0.004067766,0.0002009952,0.0001952237],"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":[0.0003987236,0.00221758,0.002069813,0.0003169126,0.0004680411,0.00001894981,0.02161071,0.07067165,0.008479413,0.2199612,0.005549122,0.6682379],"study_design_scores_gemma":[0.0007162059,0.00007193127,0.0005024423,0.00007729454,0.00003033258,0.00005414882,0.001155099,0.9753985,0.000299247,0.0005626139,0.02072714,0.0004050419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3392528,0.001472958,0.6543843,0.002859672,0.000264514,0.0006307263,0.0006565705,0.0003609178,0.0001174713],"genre_scores_gemma":[0.8676107,0.0002290517,0.1295041,0.0002054045,0.00004877582,0.000294673,0.001960981,0.00004225372,0.0001040378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9047269,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095369243","doi":"10.1007/s11277-013-1513-1","title":"Ant Colony Optimization Based Sub-channel Allocation Algorithm for Small Cell HetNets","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Macrocell; Computer science; Ant colony optimization algorithms; Computer network; Telecommunications link; Heterogeneous network; Resource allocation; Interference (communication); Femtocell; Base station; Distributed computing; Channel (broadcasting); Algorithm; Wireless network; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02086806257368733,"gpt":0.2287311731506159,"spread":0.2078631105769285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001610237,0.0002247637,0.0002113901,0.000141199,0.0003665308,0.00007892553,0.0004840026,0.0001455432,0.00002527153],"category_scores_gemma":[0.00001703687,0.0002646536,0.00008238301,0.000283393,0.00007393615,0.0003477205,0.00004415149,0.0001769629,0.00004161203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093475,"about_ca_system_score_gemma":0.0000669954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008897197,"about_ca_topic_score_gemma":0.0001084214,"domain_scores_codex":[0.9989206,0.00008166891,0.0003684324,0.0002197995,0.0001184957,0.0002909646],"domain_scores_gemma":[0.9983653,0.0002412522,0.000115275,0.0007529128,0.0004178032,0.0001074846],"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":[0.000002738802,0.00009706415,0.00001071577,0.00007746221,0.00002057411,1.177632e-7,0.0004565124,0.9892457,0.003218091,0.0001405904,0.0007374065,0.005993],"study_design_scores_gemma":[0.0005816218,0.0000353689,0.00002703111,0.0000493292,0.00002480629,0.000002107014,0.0002893955,0.9954919,0.00247996,0.00004600764,0.0006882579,0.0002842575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001355862,0.0006362946,0.9944434,0.0004169582,0.0001548673,0.001364644,0.00008609675,0.0004348533,0.001107021],"genre_scores_gemma":[0.6471553,0.0003747284,0.3495105,0.00008213884,0.00006111631,0.001358477,0.001186396,0.00009029159,0.0001810791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6457995,"threshold_uncertainty_score":0.9999806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048584405","doi":"10.1007/s11277-014-2140-1","title":"A Novel Adaptive Mobility-Aware MAC Protocol in Wireless Sensor Networks","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Network packet; Neighbor Discovery Protocol; Wireless sensor network; Latency (audio); Node (physics); Energy consumption; Efficient energy use; Telecommunications; The Internet; Internet Protocol","retraction":null,"screen_n_in":null,"score":{"opus":0.03243880179153251,"gpt":0.2805907579657689,"spread":0.2481519561742364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001010653,0.0004745081,0.000553742,0.0002927033,0.0006229401,0.0002345166,0.004467176,0.0003064092,0.00001575549],"category_scores_gemma":[0.00004962795,0.0004925178,0.0002052984,0.001525458,0.0005142447,0.0004852184,0.001648512,0.001205496,0.00003951334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964827,"about_ca_system_score_gemma":0.0001611891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004176797,"about_ca_topic_score_gemma":0.001174645,"domain_scores_codex":[0.996049,0.0007871651,0.0007639577,0.0009358375,0.0005959513,0.0008680191],"domain_scores_gemma":[0.9942398,0.001144219,0.0003412323,0.003669249,0.0003410281,0.0002644775],"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":[0.0002683304,0.006131244,0.006979641,0.000158047,0.0001759171,0.00002459181,0.006214756,0.2724424,0.00344267,0.5976783,0.0007675129,0.1057166],"study_design_scores_gemma":[0.0011975,0.0001118385,0.002842507,0.0001958353,0.000008222597,0.00002906699,0.0002367669,0.9919184,0.0001040932,0.0001186215,0.00268794,0.0005492263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01255945,0.00004077076,0.9653038,0.002224921,0.0001731893,0.01542969,0.00001628974,0.0005515605,0.003700275],"genre_scores_gemma":[0.9328104,0.00001957828,0.03758842,0.0004976774,0.0001189599,0.02868856,0.00003464244,0.00005681554,0.0001849111],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9277154,"threshold_uncertainty_score":0.9997526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984241522","doi":"10.1007/s11277-006-9190-y","title":"BER Analysis of Equalized OFDM Systems in Nakagami, m  <  1 Fading","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Fading; Electronic engineering; Bit error rate; Rayleigh fading; HiperLAN; Multipath propagation; Nakagami distribution; Phase-shift keying; Digital audio broadcasting; Quadrature amplitude modulation; Telecommunications; Channel (broadcasting); Wireless; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0255494938044825,"gpt":0.2840347992948087,"spread":0.2584853054903262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441219,0.0002074089,0.0005569297,0.000863033,0.0001281635,0.00003247311,0.001256825,0.0001318805,0.00002583807],"category_scores_gemma":[0.00002179198,0.000242863,0.000182678,0.002097019,0.0002062339,0.000215087,0.0002266575,0.0003589342,0.000006922787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350719,"about_ca_system_score_gemma":0.00002583202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009725124,"about_ca_topic_score_gemma":0.0016207,"domain_scores_codex":[0.9983379,0.0002069063,0.0007616163,0.0001773503,0.0002546659,0.0002615494],"domain_scores_gemma":[0.9972768,0.0004844337,0.0001745352,0.001873077,0.0001447303,0.00004640277],"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":[0.00003886024,0.0009172512,0.03067997,0.0004014347,0.001777304,0.000004889512,0.005807994,0.4353355,0.1372496,0.3746969,0.001113171,0.0119771],"study_design_scores_gemma":[0.0003618094,0.00001105171,0.01297201,0.000146474,0.0002056452,0.000002087653,0.0006880398,0.9788113,0.001546416,0.0004080299,0.004461812,0.0003852843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.878899,0.01708779,0.06929076,0.0003790924,0.0001045272,0.0008087493,0.000295127,0.001463094,0.03167181],"genre_scores_gemma":[0.9917722,0.001231137,0.006265164,0.00001275342,0.00001257932,0.000225927,0.0003294002,0.00004623664,0.0001045888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5434758,"threshold_uncertainty_score":0.9903665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102526299","doi":"10.1007/s11277-013-1353-z","title":"A Beacon-Based Collision-Free Channel Access Scheme for IEEE 802.11 WLANs","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"BC Cancer Agency","keywords":"Distributed coordination function; Computer science; Exponential backoff; Computer network; IEEE 802.11; Network allocation vector; Throughput; Random access; Quality of service; Collision; Channel (broadcasting); IEEE 802.11e-2005; Frame (networking); Inter-Access Point Protocol; Access control; Real-time computing; Wireless; Wi-Fi; Wireless network; Wi-Fi array; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.069875539702552,"gpt":0.3262640961885941,"spread":0.2563885564860421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0004178271,0.0002902402,0.000341483,0.000155616,0.0009915252,0.0007749775,0.008624554,0.0001746046,0.0000432373],"category_scores_gemma":[0.0000616147,0.0002794761,0.0002253585,0.0006650487,0.0002303801,0.0009783441,0.001145252,0.0003409559,0.00006394859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009126517,"about_ca_system_score_gemma":0.0003238102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005227228,"about_ca_topic_score_gemma":0.0004121518,"domain_scores_codex":[0.9979598,0.0001775999,0.0004287634,0.00049703,0.000382825,0.0005540167],"domain_scores_gemma":[0.9944263,0.00105883,0.0002320361,0.003507306,0.0005324626,0.0002430831],"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":[0.0002125918,0.004970247,0.01120664,0.0008366022,0.0005791152,0.00001197723,0.01023481,0.006510838,0.007062096,0.3377504,0.5153813,0.1052433],"study_design_scores_gemma":[0.001255997,0.00009894335,0.001577809,0.0001683211,0.00001168269,0.000004022509,0.00008755507,0.9762374,0.0006160795,0.003639319,0.01585577,0.0004471311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03426034,0.0004526285,0.9029984,0.04463913,0.0004304097,0.01446786,0.0002317103,0.0006800728,0.00183939],"genre_scores_gemma":[0.9016652,0.00004744893,0.06689136,0.002151808,0.0001919441,0.02857595,0.0001006147,0.00004704812,0.0003286025],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9697265,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090676174","doi":"10.1007/s11277-008-9504-3","title":"Comparison of Partial CSI Encoding Methods in Multi-User MIMO Systems","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; MIMO; Channel state information; Base station; Scheduling (production processes); Multiplexing; Dirty paper coding; Coding (social sciences); ENCODE; Real-time computing; Computer network; Algorithm; Channel (broadcasting); Wireless; Telecommunications; Precoding; Mathematical optimization; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1286888555094922,"gpt":0.3951548759657683,"spread":0.266466020456276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002736387,0.0001504553,0.0003838199,0.0001618858,0.0001570826,0.00001137275,0.0004872875,0.0001063763,0.000007344285],"category_scores_gemma":[0.0000486582,0.0001727147,0.00006102251,0.0003816888,0.0001384163,0.0001909035,0.00009491338,0.0003028254,0.000008820103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379119,"about_ca_system_score_gemma":0.00003107896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001648253,"about_ca_topic_score_gemma":0.0001129502,"domain_scores_codex":[0.998681,0.0002633587,0.0005912594,0.0001378994,0.0001221967,0.000204254],"domain_scores_gemma":[0.9987071,0.0003080333,0.0001237503,0.0007067556,0.00009781027,0.00005660189],"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":[0.00001483048,0.0004221358,0.06081861,0.0003047606,0.00009738764,0.00000285172,0.02416876,0.8450639,0.06090625,0.005992846,0.0002288702,0.001978785],"study_design_scores_gemma":[0.0003770615,0.00001121168,0.001443377,0.0001300477,0.000010494,0.00001048292,0.002087743,0.9908986,0.003010124,0.000002244682,0.0018376,0.0001810036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0746653,0.005597397,0.9165983,0.00005342731,0.0002817737,0.0004614003,0.00002736015,0.0002615502,0.002053497],"genre_scores_gemma":[0.8805155,0.0003879164,0.1187859,0.000003404294,0.00001904471,0.0001101161,0.00003510646,0.00003420846,0.0001087976],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8058502,"threshold_uncertainty_score":0.7043101,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152259660","doi":"10.1007/s11277-014-2081-8","title":"A Joint Game-Theoretic Interference Coordination Approach in Uplink Multi-Cell OFDMA Networks","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Telecommunications link; Scheduling (production processes); Orthogonal frequency-division multiple access; Joint (building); Resource allocation; Interference (communication); Nash equilibrium; Mathematical optimization; Distributed computing; Orthogonal frequency-division multiplexing; Computer network; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.02540799186903964,"gpt":0.2404678325571495,"spread":0.2150598406881098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022689,0.0001891953,0.000239927,0.0001603711,0.0001028273,0.00004216934,0.0005468446,0.0001301551,0.00001537176],"category_scores_gemma":[0.00003037116,0.0002118622,0.00005494815,0.0003633169,0.0001266449,0.0001810694,0.0001399016,0.0004608412,0.00001669253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722476,"about_ca_system_score_gemma":0.00001485177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000331688,"about_ca_topic_score_gemma":0.00006440536,"domain_scores_codex":[0.9989299,0.000164252,0.0003762397,0.0002021808,0.00008557949,0.0002418029],"domain_scores_gemma":[0.9988505,0.000139437,0.00008915554,0.0007553549,0.00009950533,0.00006603852],"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":[0.00000699714,0.0002594127,0.00102668,0.0001526356,0.00001838303,2.444583e-7,0.003313927,0.9716311,0.001887244,0.008369886,0.00006060975,0.01327287],"study_design_scores_gemma":[0.0005252711,0.00001360706,0.0005654704,0.0001201491,0.00001048269,0.000002854101,0.0003951841,0.9978934,0.00009550995,0.0000626477,0.00009729305,0.0002181507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01779877,0.001015403,0.976994,0.0001558832,0.00008914276,0.0003382432,0.00000554461,0.0002578705,0.003345078],"genre_scores_gemma":[0.978245,0.0004452923,0.02064854,0.00002814454,0.00003276383,0.0003060238,0.0001189184,0.00005275645,0.0001225654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9604462,"threshold_uncertainty_score":0.8639491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991755370","doi":"10.1007/s11277-008-9542-x","title":"On Achievable Data Rates and Optimal Power Allocation in Fading Channels with Imperfect Channel State Information","year":2008,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Fading; Channel state information; Computer science; Channel (broadcasting); Transmitter; Fading distribution; Algorithm; Code rate; Transmitter power output; Wireless; Telecommunications; Rayleigh fading; Decoding methods","retraction":null,"screen_n_in":null,"score":{"opus":0.03284062017407999,"gpt":0.272748806403798,"spread":0.239908186229718,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728842,0.000228779,0.0002248798,0.0002994874,0.0003781735,0.00006131298,0.001125999,0.00007918123,0.000007236997],"category_scores_gemma":[0.00003767826,0.0002322121,0.00001935615,0.0004159082,0.000230936,0.001661807,0.0004069013,0.000501857,0.00001647365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319468,"about_ca_system_score_gemma":0.00004667674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000826672,"about_ca_topic_score_gemma":0.0001022793,"domain_scores_codex":[0.9989104,0.00009448703,0.0003371935,0.0001917233,0.00019986,0.0002663008],"domain_scores_gemma":[0.997644,0.0002742484,0.00009534069,0.001812429,0.00009857594,0.00007538495],"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":[0.0009319821,0.001560413,0.00618999,0.0007177353,0.0007082613,0.00002611569,0.157072,0.7056726,0.01820661,0.03281315,0.004906669,0.07119448],"study_design_scores_gemma":[0.0008029232,0.0001530317,0.003526308,0.0002532319,0.00001075041,0.0000550932,0.00117589,0.9888566,0.002663633,0.0002493345,0.001711877,0.0005413175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518425,0.0009180063,0.04339627,0.0008034617,0.00004105717,0.0006431596,0.0001286756,0.0006571242,0.001569752],"genre_scores_gemma":[0.9867007,0.00427168,0.008071634,0.00009272726,0.000006871503,0.0001835254,0.0006101993,0.00004015943,0.00002246108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.283184,"threshold_uncertainty_score":0.9469336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283647201","doi":"10.1007/s11277-022-09905-6","title":"PECDF-CMRP: A Power-Efficient Compressive Data Fusion and Cluster-Based Multi-hop Relay-Assisted Routing Protocol for IoT Sensor Networks","year":2022,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Relay; Computer network; Wireless sensor network; Hop (telecommunications); Routing protocol; Default gateway; Energy consumption; Dissemination; Routing (electronic design automation); Telecommunications; Power (physics); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.08858611968474853,"gpt":0.3351197420617907,"spread":0.2465336223770422,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001246168,0.0004301091,0.0004587744,0.0002289756,0.003707386,0.0003377316,0.005716346,0.0001513237,0.00002050096],"category_scores_gemma":[0.0001121145,0.0004543443,0.0001563083,0.0009107209,0.0003717496,0.0001728065,0.007890198,0.001027772,0.000003004425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665686,"about_ca_system_score_gemma":0.0002942774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000978166,"about_ca_topic_score_gemma":0.0001267942,"domain_scores_codex":[0.995519,0.001135454,0.0007287406,0.001175917,0.000697057,0.0007437611],"domain_scores_gemma":[0.992213,0.00187328,0.0006377411,0.004708523,0.0003270129,0.0002404394],"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":[0.0003004542,0.002190441,0.0003172164,0.00006647935,0.00008377422,0.00001261104,0.002744303,0.9728945,0.0008336845,0.007686283,0.001519447,0.01135074],"study_design_scores_gemma":[0.003116912,0.0001842439,0.0006956382,0.0001401202,0.00002713024,0.00004870269,0.0008378181,0.9833308,0.00002317727,0.000004766699,0.01107808,0.0005125621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01436581,0.0002336816,0.9297214,0.006361142,0.0003172892,0.04773401,0.0003544969,0.0006437998,0.0002683977],"genre_scores_gemma":[0.7597588,0.000004948175,0.1729587,0.0007068246,0.00006033185,0.06582452,0.0004863397,0.00007223497,0.0001271948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7567626,"threshold_uncertainty_score":0.9997908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066958484","doi":"10.1007/s11277-011-0483-4","title":"Adaptive Spectrum Sensing Algorithm in Cognitive Ultra-wideband Systems","year":2011,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Algorithm; Cognitive radio; Wideband; False alarm; Energy (signal processing); Direct-sequence spread spectrum; Robustness (evolution); Keying; Frequency domain; Ultra-wideband; Noise (video); SIGNAL (programming language); Noise power; Electronic engineering; Spread spectrum; Telecommunications; Channel (broadcasting); Power (physics); Wireless; Artificial intelligence; Mathematics; Statistics; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06078846826477956,"gpt":0.2658478619863648,"spread":0.2050593937215853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003883029,0.0002319236,0.0003117124,0.0002327687,0.0004314296,0.0001507391,0.0009103162,0.00009354703,0.000009957866],"category_scores_gemma":[0.00002725952,0.0002458768,0.00009915412,0.0007574835,0.0002742697,0.0004461535,0.0002684346,0.0005454393,0.00002968363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521734,"about_ca_system_score_gemma":0.0001198863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658146,"about_ca_topic_score_gemma":0.001073451,"domain_scores_codex":[0.9981097,0.0003780788,0.0003538803,0.0004392782,0.0002577165,0.0004613638],"domain_scores_gemma":[0.9981547,0.0005904617,0.0001509383,0.0008120196,0.0001629592,0.0001289464],"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":[0.0001014086,0.001018723,0.003550554,0.00002865209,0.0003721869,0.000405605,0.06343439,0.00004925755,0.0008637614,0.1951457,0.0002223909,0.7348074],"study_design_scores_gemma":[0.0007487047,0.0001259026,0.004819102,0.0004732823,0.00002835298,0.0002614209,0.004637944,0.9850311,0.0005357646,0.002603722,0.0001893734,0.0005453604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0188734,0.002240215,0.9443468,0.0006723995,0.0002443879,0.0004833737,0.0000275144,0.0002191852,0.03289267],"genre_scores_gemma":[0.9827327,0.0003762468,0.01654131,0.0001508545,0.00007138379,0.00001246139,0.00001505732,0.00002080508,0.00007920655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9849818,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}