{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"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":"0adea103f85f","filters":{"venue":"Communications and Network"}},"results":[{"id":"W3049410002","doi":"10.4236/cn.2020.123006","title":"A P2P Approach to Routing in Hierarchical MANETs","year":2020,"lang":"en","type":"article","venue":"Communications and Network","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Army Research Laboratory; Research, Development and Engineering Command","keywords":"Computer science; Distributed hash table; Computer network; Flooding (psychology); Distributed computing; Scalability; Overlay network; Policy-based routing; Routing protocol; Hierarchical routing; Routing (electronic design automation); Static routing; Routing table; Peer-to-peer; Database; The Internet","retraction":null,"screen_n_in":null,"score":{"opus":0.05157680272702481,"gpt":0.2703894681474781,"spread":0.2188126654204532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973142,0.000105684,0.0001696351,0.00006635337,0.0001998896,0.0001190249,0.002777831,0.00006307012,6.721226e-7],"category_scores_gemma":[0.00007499733,0.0001066205,0.00002127926,0.001409873,0.00006522174,0.00009918197,0.003845946,0.0003463455,0.00002241737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125967,"about_ca_system_score_gemma":0.00002081314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484417,"about_ca_topic_score_gemma":0.00003158137,"domain_scores_codex":[0.9989544,0.0001022968,0.0002115063,0.0003146626,0.0001038409,0.000313343],"domain_scores_gemma":[0.9980848,0.0001790505,0.00003320613,0.00151911,0.00002286658,0.0001609522],"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":[0.00001220216,0.0001253493,0.007379346,0.00001132837,0.00001790325,0.000004760763,0.004759664,0.006601084,0.00005249586,0.4958961,0.02331739,0.4618224],"study_design_scores_gemma":[0.0002474203,0.0001326389,0.01570716,0.00007157157,0.000004315546,0.00001135258,0.0001193309,0.8657926,0.000008652314,0.008721088,0.1088316,0.0003523057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01580259,0.002178486,0.8476371,0.1134386,0.00007887873,0.0006449803,0.000002141403,0.000781884,0.01943535],"genre_scores_gemma":[0.6226559,0.0001090146,0.3748678,0.002251749,0.00004006067,0.00005128238,0.000002928314,0.000005314791,0.00001594779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8591915,"threshold_uncertainty_score":0.5161948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133010832","doi":"10.4236/cn.2013.52011","title":"Effective Capacity and Interference Analysis in Multiband Dynamic Spectrum Sensing","year":2013,"lang":"en","type":"article","venue":"Communications and Network","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Fading; Computer science; Channel (broadcasting); Interference (communication); Transmission (telecommunications); Transmitter power output; Quality of service; Constraint (computer-aided design); Channel capacity; Computer network; Telecommunications; Wireless; Transmitter; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01276105160911513,"gpt":0.2419046794433336,"spread":0.2291436278342185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002675648,0.0001262034,0.0002487323,0.000153544,0.0002930625,0.0002389895,0.0003254214,0.00004850696,0.000003248363],"category_scores_gemma":[0.00001692446,0.0001204107,0.00004028788,0.0009945848,0.0001805396,0.000258907,0.0005344774,0.0002571968,0.000002931659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000419185,"about_ca_system_score_gemma":0.000008129689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006015002,"about_ca_topic_score_gemma":0.005214255,"domain_scores_codex":[0.9989766,0.0002377999,0.0001898588,0.0002873167,0.00005473641,0.0002536263],"domain_scores_gemma":[0.9984271,0.0005791676,0.00006928552,0.000805959,0.00004251885,0.00007599249],"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":[0.000007158474,0.00007504804,0.0578739,0.00001229108,0.0002858776,0.000005258275,0.002549196,0.00103541,0.000208875,0.008572897,0.00006166385,0.9293124],"study_design_scores_gemma":[0.000133472,0.00002496585,0.2365117,0.00004710414,0.00002727438,0.00001006336,0.00003165934,0.756443,0.000005793733,0.006590278,0.00005746947,0.0001172192],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.581087,0.003474398,0.4125717,0.001580229,0.00005514128,0.0003389596,9.104303e-7,0.00005709004,0.0008345987],"genre_scores_gemma":[0.9701102,0.001419956,0.02832034,0.000102279,0.0000203011,0.00000743846,0.000003224756,0.000005073855,0.00001119322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9291952,"threshold_uncertainty_score":0.4910204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380143052","doi":"10.4236/cn.2023.152004","title":"A Meta-Learning Approach for Aircraft Trajectory Prediction","year":2023,"lang":"en","type":"article","venue":"Communications and Network","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Trajectory; Aviation; Mean squared error; Aviation safety; Aviation accident; Air traffic management; Random forest; Air traffic control; Data pre-processing; Data mining; Machine learning; Artificial intelligence; Statistics; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.05313249069463175,"gpt":0.2366689409755277,"spread":0.183536450280896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002174935,0.0000625789,0.00009454432,0.00004591289,0.0002462291,0.00002360935,0.0001284439,0.00003518893,0.000007365953],"category_scores_gemma":[0.000004198401,0.00006168504,0.00004301158,0.0002643215,0.00002354232,0.00006060099,0.00004974848,0.00008173332,0.000002902451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007498559,"about_ca_system_score_gemma":0.000002050114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.33554e-7,"about_ca_topic_score_gemma":0.000002683218,"domain_scores_codex":[0.9996521,0.00002538917,0.0001044168,0.0000714267,0.00003409138,0.0001125279],"domain_scores_gemma":[0.9995981,0.00008049714,0.00001481379,0.000270547,0.0000144704,0.0000216027],"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":[0.000001390382,0.000006102659,0.0001323027,0.00002967743,0.0002222093,1.962304e-8,0.0001520293,0.9762258,0.000002588933,0.0009340197,0.01287606,0.009417801],"study_design_scores_gemma":[0.00009313034,0.00001234833,0.0003921189,0.000003498986,0.0002028407,1.705622e-7,0.00006983566,0.9240115,5.337615e-7,0.00007899544,0.07508074,0.00005428126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001188004,0.008128015,0.9670898,0.0002249497,0.0001486032,0.0006218796,0.000009670949,0.00201736,0.02057176],"genre_scores_gemma":[0.8492474,0.01549951,0.1310662,0.00003800165,0.0002129451,0.0008713532,0.001106066,0.0000530295,0.001905442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8480594,"threshold_uncertainty_score":0.2515443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387055889","doi":"10.4236/cn.2023.154006","title":"Impact of Heat Treatments and Hole Density (p) on the Structural, Electrical, and Superconducting Properties of LnSrBaCu&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;O&amp;lt;sub&amp;gt;6+z&amp;lt;/sub&amp;gt; (Ln = Eu, Sm, Nd) Compounds","year":2023,"lang":"en","type":"article","venue":"Communications and Network","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ionic radius; Orthorhombic crystal system; Tetragonal crystal system; Electrical resistivity and conductivity; Materials science; Annealing (glass); Superconductivity; Rietveld refinement; Analytical Chemistry (journal); Ion; Crystallography; Chemistry; Condensed matter physics; Crystal structure; Metallurgy; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.07873894429580776,"gpt":0.2944391332737753,"spread":0.2157001889779676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001184814,0.001434341,0.001979721,0.000430595,0.003067127,0.0005140498,0.001590128,0.0004799269,0.0001688566],"category_scores_gemma":[0.0001584202,0.001179033,0.0006926339,0.001838925,0.00207132,0.001564492,0.001625509,0.001552111,0.0001401519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272063,"about_ca_system_score_gemma":0.0003169673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318828,"about_ca_topic_score_gemma":0.002198645,"domain_scores_codex":[0.9932858,0.001188666,0.001581692,0.001421963,0.0008192587,0.001702627],"domain_scores_gemma":[0.9920498,0.001612093,0.0007032109,0.004370112,0.0006336871,0.0006311543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006617181,0.0025763,0.02894162,0.0003316384,0.003417613,0.000002301763,0.01028152,0.00111683,0.8829141,0.008399879,0.02557094,0.03578559],"study_design_scores_gemma":[0.03130428,0.005663497,0.2203049,0.01056116,0.01328268,0.000626097,0.004896729,0.004661188,0.04190233,0.1029551,0.5415817,0.02226033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810182,0.01356851,0.0004114035,0.001264152,0.00033526,0.001561619,0.0005322144,0.0002412395,0.001067414],"genre_scores_gemma":[0.986845,0.006622742,0.002654206,0.0001530365,0.000601033,0.0002391645,0.00195071,0.000203389,0.0007307604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8410117,"threshold_uncertainty_score":0.9998407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133435262","doi":"10.4236/cn.2013.53024","title":"Throughput Maximization Based on Optimal Access Probabilities in Cognitive Radio System","year":2013,"lang":"en","type":"article","venue":"Communications and Network","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Underlay; Cognitive radio; Computer science; Overlay; Throughput; Computer network; Scheme (mathematics); Markov process; Telecommunications; Signal-to-noise ratio (imaging); Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.03437426968491627,"gpt":0.2748567854655752,"spread":0.240482515780659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002781811,0.0001388124,0.0001926199,0.00008840764,0.0003672962,0.0004386921,0.0007233331,0.0000587738,0.000008967544],"category_scores_gemma":[0.00002517648,0.0001306097,0.00003499203,0.0005867851,0.000137501,0.0005265828,0.0003980159,0.0002016259,0.000008193954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007499217,"about_ca_system_score_gemma":0.00004521937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009816104,"about_ca_topic_score_gemma":0.00007841677,"domain_scores_codex":[0.9988238,0.0002618477,0.0002483334,0.0002855654,0.0001125223,0.0002679769],"domain_scores_gemma":[0.998153,0.000719777,0.00009052397,0.0008512997,0.0001234348,0.00006194771],"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":[0.00007035134,0.000605184,0.0310821,0.0001338113,0.00008652351,0.0000184174,0.002727906,0.1094058,0.00001007139,0.3081543,0.002961195,0.5447443],"study_design_scores_gemma":[0.0003608331,0.00006665065,0.01386023,0.0003917593,0.000006324903,0.000007998108,0.0001448273,0.9833007,0.000005061334,0.001433152,0.0002620469,0.0001603808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04416133,0.002996955,0.9227766,0.004112363,0.0002434051,0.001498544,0.000004047332,0.0003148237,0.02389188],"genre_scores_gemma":[0.9707522,0.0003211864,0.02838887,0.0003062052,0.00007259075,0.0001082814,0.00001647145,0.0000101322,0.00002410573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9265908,"threshold_uncertainty_score":0.5326111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285271719","doi":"10.4236/cn.2022.143007","title":"Comparing the Performances between Adaptive Notch Filter Direct and Lattice Forms Structures for Mitigation Jamming Signals","year":2022,"lang":"en","type":"article","venue":"Communications and Network","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; École de technologie supérieure","keywords":"Infinite impulse response; Computer science; Jamming; Band-stop filter; Adaptive filter; Bit error rate; Algorithm; Control theory (sociology); Electronic engineering; Finite impulse response; Digital filter; Telecommunications; Bandwidth (computing); Low-pass filter; Artificial intelligence; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04355398234405139,"gpt":0.2560871400441686,"spread":0.2125331577001172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003458113,0.00007769845,0.0001324905,0.00002077737,0.001392251,0.00007863479,0.0002129867,0.00001935769,0.000003473895],"category_scores_gemma":[0.000004160056,0.00005926954,0.00002098812,0.0001061899,0.00005501324,0.0001205406,0.0001470091,0.0001498764,1.47568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711451,"about_ca_system_score_gemma":0.000005966821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001386577,"about_ca_topic_score_gemma":0.00002477986,"domain_scores_codex":[0.9995232,0.00004920921,0.0001590021,0.00007648869,0.00006396289,0.0001281976],"domain_scores_gemma":[0.9992542,0.0004199914,0.00004901573,0.0002324213,0.00002007625,0.00002429804],"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":[0.00008713941,0.00003306273,0.09300222,0.0006303464,0.0007768398,6.636995e-7,0.02325742,0.3944995,0.001157049,0.01671123,0.007457924,0.4623866],"study_design_scores_gemma":[0.000291215,0.00008524535,0.01683578,0.00009323551,0.00007296672,0.000006569173,0.002246597,0.9350278,0.0001377622,0.004211063,0.04075216,0.0002396155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490167,0.03339852,0.01217141,0.0003399011,0.000133918,0.0005489995,0.00003002672,0.0001106302,0.004249918],"genre_scores_gemma":[0.9965752,0.0002726912,0.002846794,0.00003125379,0.0001144756,0.0001014034,0.0000247003,0.00001267807,0.00002082509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5405284,"threshold_uncertainty_score":0.9999078,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3110543441","doi":"10.4236/cn.2020.124010","title":"Using Heuristics to the Controller Placement Problem in Software-Defined Multihop Wireless Networking","year":2020,"lang":"en","type":"article","venue":"Communications and Network","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Heuristics; Controller (irrigation); Heuristic; Software-defined networking; Overhead (engineering); Distributed computing; Wireless network; Computer network; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.06940904558746609,"gpt":0.2843225855163239,"spread":0.2149135399288578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380196,0.0001957542,0.0002940307,0.00003971918,0.000638043,0.0002341036,0.001697951,0.00007193966,0.000002469556],"category_scores_gemma":[0.00005071649,0.0001569408,0.00005095344,0.001069821,0.00007813657,0.0001142099,0.001697843,0.0003544063,0.000010366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004135953,"about_ca_system_score_gemma":0.00005071659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006189422,"about_ca_topic_score_gemma":0.000132749,"domain_scores_codex":[0.9983652,0.0002405418,0.0004274447,0.0003552245,0.0001686526,0.0004429842],"domain_scores_gemma":[0.9976015,0.0008625856,0.0001351976,0.001154774,0.00007364266,0.0001722925],"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":[0.0001340763,0.000223746,0.03623833,0.0000414546,0.0001257149,0.00001036645,0.006540906,0.4853416,0.00003425666,0.04360304,0.02479695,0.4029096],"study_design_scores_gemma":[0.0006129354,0.00006874655,0.0009239592,0.0001159422,0.00001498309,0.000004059823,0.00004494398,0.9196747,8.060229e-7,0.001062936,0.07725024,0.0002257514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002249509,0.008297703,0.9759439,0.01204704,0.0002274427,0.0007877098,0.000003296253,0.0002011868,0.0002422497],"genre_scores_gemma":[0.6691512,0.001264788,0.3238803,0.005175314,0.0003812792,0.0001010529,0.000006915047,0.0000230498,0.0000160695],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6669017,"threshold_uncertainty_score":0.6399862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382774408","doi":"10.4236/cn.2023.152003","title":"ADS-B Reception Error Correction Based on the LSTM Neural-Network Model","year":2023,"lang":"en","type":"article","venue":"Communications and Network","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; École de technologie supérieure","keywords":"Computer science; Decoding methods; Artificial neural network; Interference (communication); Network packet; Algorithm; Noise (video); Speech recognition; Artificial intelligence; Machine learning; Telecommunications; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.0929497029262276,"gpt":0.2949611020341826,"spread":0.202011399107955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000797334,0.0001258467,0.0001122176,0.00007388122,0.001113507,0.0001629855,0.001080442,0.00007509776,0.00001019104],"category_scores_gemma":[0.00004898428,0.0001021308,0.00004940376,0.001389219,0.0001038813,0.0002158421,0.0003194094,0.0002630139,0.00007652005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429176,"about_ca_system_score_gemma":0.00003833079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006603183,"about_ca_topic_score_gemma":0.00003056888,"domain_scores_codex":[0.9986842,0.0003509149,0.0002478109,0.000276433,0.000196004,0.0002445943],"domain_scores_gemma":[0.9966551,0.0009655089,0.0001522128,0.002067024,0.0001007408,0.00005942806],"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":[0.000006292001,0.00002510996,0.0004504358,0.000001904497,0.00000480751,9.919606e-8,0.0001158194,0.8650603,0.00004676832,0.04787886,0.04427761,0.04213195],"study_design_scores_gemma":[0.00008929078,0.00003345151,0.008673458,0.0000415215,0.000005803263,8.915723e-7,0.0000184413,0.978045,0.00000594244,0.007696441,0.005276697,0.0001130788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008448718,0.000389885,0.9313736,0.05155287,0.001104637,0.0006931681,0.000003584033,0.0009651176,0.005468415],"genre_scores_gemma":[0.985411,0.0003162984,0.01226547,0.001110971,0.0001578738,0.0001759158,0.00005764206,0.00001490551,0.0004899292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9769623,"threshold_uncertainty_score":0.8564309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029577491","doi":"10.4236/cn.2020.122005","title":"Prediction-Based Resource Assignment Scheme to Maximize the Net Profit of Cloud Service Providers","year":2020,"lang":"en","type":"article","venue":"Communications and Network","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Cloud computing; CloudSim; Computer science; Profit (economics); Service provider; Cloud service provider; Resource (disambiguation); Scheme (mathematics); Operations research; Service (business); Computer network; Cloud computing security; Microeconomics; Marketing; Business; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.04198334772031228,"gpt":0.2372517358359883,"spread":0.195268388115676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051925,0.0001015067,0.0001299257,0.0000218334,0.0004308709,0.00009426679,0.001872475,0.00003041582,0.000003185552],"category_scores_gemma":[0.00002314008,0.00007617349,0.00003799859,0.0007277527,0.00006965151,0.00001442462,0.001565292,0.0001631068,0.000005795329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001631388,"about_ca_system_score_gemma":0.00003552888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002996242,"about_ca_topic_score_gemma":0.000008037632,"domain_scores_codex":[0.9989883,0.0001761356,0.0002485726,0.00022714,0.0001801444,0.0001797145],"domain_scores_gemma":[0.9978636,0.0002727717,0.0001126263,0.001580162,0.00006149701,0.0001093425],"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":[0.00009908438,0.0002499782,0.0107156,0.000203069,0.0002552213,0.000002140772,0.01284868,0.5907212,0.0001856867,0.04610653,0.1974008,0.141212],"study_design_scores_gemma":[0.0002027754,0.00008999927,0.001120934,0.00006101817,0.00001233547,5.470922e-7,0.0001763212,0.7675557,0.00001519476,0.0001548518,0.2305289,0.00008146424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03138547,0.00316696,0.4275326,0.528447,0.0002134353,0.001750636,0.000008595616,0.0004357072,0.007059577],"genre_scores_gemma":[0.9163869,0.00002953204,0.06963179,0.01356369,0.0001876298,0.00008486013,0.000006840584,0.00001170902,0.00009703446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8850014,"threshold_uncertainty_score":0.3479555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132571442","doi":"10.4236/cn.2013.52b005","title":"A Sphere Detection Based Adaptive MIMO Detection Algorithm for LTE-A System","year":2013,"lang":"en","type":"article","venue":"Communications and Network","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; China Scholarship Council","keywords":"Constellation; MIMO; Computer science; Algorithm; Telecommunications link; Reservation; Detection theory; Telecommunications; Detector; Computer network; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.01511089101685821,"gpt":0.2280766183892518,"spread":0.2129657273723936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351617,0.0001399876,0.0001607437,0.00005118024,0.0004209853,0.0000495645,0.0003789119,0.0001061516,0.000006210969],"category_scores_gemma":[0.000007148496,0.0001524038,0.00004975312,0.000249394,0.00007366292,0.0001944671,0.00009802704,0.0001987998,0.0000108546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147321,"about_ca_system_score_gemma":0.000007936802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005228183,"about_ca_topic_score_gemma":0.0001749928,"domain_scores_codex":[0.999321,0.00007620863,0.0002394851,0.000123886,0.00005320861,0.0001861759],"domain_scores_gemma":[0.9982649,0.0002857978,0.00006922218,0.001195566,0.0001255537,0.00005894165],"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":[0.000002978797,0.00001378191,0.000009383838,0.00002940471,0.00002253325,2.995229e-8,0.0000382768,0.002984823,0.001109742,0.0004621357,0.0001952739,0.9951316],"study_design_scores_gemma":[0.0001895979,0.00006103322,0.0001386,0.00008652519,0.00001695383,0.00000286635,0.000205246,0.9843668,0.003204212,0.0007198933,0.01083861,0.0001696748],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008919755,0.003967605,0.9920914,0.00004972726,0.00008629929,0.0008000527,0.000008379676,0.001006377,0.001098235],"genre_scores_gemma":[0.7140232,0.0006582074,0.2837756,0.00001876544,0.00004857186,0.001409285,0.00001713234,0.0000326051,0.00001663942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.994962,"threshold_uncertainty_score":0.6214848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}