{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":119,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":119,"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":"3c4ff32e4a54","filters":{"venue":"IEEE Transactions on Broadcasting"}},"results":[{"id":"W2133803071","doi":"10.1109/tbc.2005.846190","title":"Stereoscopic Image Generation Based on Depth Images for 3D TV","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":505,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer vision; Image warping; Stereoscopy; Artificial intelligence; Rendering (computer graphics); Computer science; Image-based modeling and rendering; View synthesis; Distortion (music); Smoothing; Virtual image; Image quality; Computer graphics (images); Depth map; Image-based lighting; Image (mathematics); Bandwidth (computing)","retraction":null,"screen_n_in":null,"score":{"opus":0.03574500606888086,"gpt":0.3039468370017477,"spread":0.2682018309328668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663421,0.0001893085,0.0001440554,0.0002132224,0.000459702,0.0002083738,0.0002763204,0.00004292422,0.00003937147],"category_scores_gemma":[0.00002009741,0.0001872056,0.0000982823,0.0002461869,0.00002835169,0.0008404268,0.000002039087,0.000193643,0.00006770927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009200757,"about_ca_system_score_gemma":0.00004721805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005292293,"about_ca_topic_score_gemma":0.000008457469,"domain_scores_codex":[0.9986765,0.00004660244,0.0002650121,0.0004620368,0.0002284055,0.0003214849],"domain_scores_gemma":[0.9991276,0.0002029423,0.00008588539,0.0003963367,0.00009576918,0.00009143562],"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":[0.00001279988,0.0001089715,0.000002649429,0.00001158647,0.000004490282,0.00000176913,0.0000865711,0.07738937,0.02995748,0.00002723015,0.0003123457,0.8920847],"study_design_scores_gemma":[0.0006613125,0.0001374585,0.00002648932,0.00005475248,0.000006895451,0.000004686614,0.00001040015,0.8515064,0.14505,0.00001680214,0.002352503,0.0001723501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009481835,0.00001791041,0.9959659,0.0009502155,0.0005505922,0.0002745014,0.00001059513,0.0002732142,0.001008875],"genre_scores_gemma":[0.4146126,0.000003138286,0.5839074,0.0009820913,0.0001375086,0.00004211421,0.000001838185,0.00001714022,0.0002962272],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8919124,"threshold_uncertainty_score":0.7634022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131049857","doi":"10.1109/tbc.2012.2199598","title":"Cloud Transmission: A New Spectrum-Reuse Friendly Digital Terrestrial Broadcasting Transmission System","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":373,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Digital terrestrial television; Single-frequency network; Robustness (evolution); Cloud computing; Multipath propagation; Computer network; Scalability; Transmission (telecommunications); Digital television; Reuse; Telecommunications; Electronic engineering; Channel (broadcasting); Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0205853926339945,"gpt":0.2268471436895659,"spread":0.2062617510555714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003017391,0.0006457178,0.0005347742,0.0004702627,0.0007837109,0.0002745419,0.0009438687,0.000400409,0.0001207723],"category_scores_gemma":[0.00004085396,0.0006332793,0.0003455891,0.000951076,0.0001005102,0.0009809479,0.00001148221,0.001191596,0.0001608675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334965,"about_ca_system_score_gemma":0.00007905402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007229193,"about_ca_topic_score_gemma":0.000003933457,"domain_scores_codex":[0.996918,0.00007070196,0.0009114781,0.0004647904,0.0004579657,0.001177099],"domain_scores_gemma":[0.9977749,0.0003912345,0.0001393346,0.001140432,0.00003161061,0.0005225181],"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":[0.0001384325,0.0002554259,0.00005044964,0.0001936396,0.0001384599,0.0000164253,0.001485241,0.05710224,0.007575336,0.00006258718,0.001518931,0.9314628],"study_design_scores_gemma":[0.007911381,0.001469395,0.0002389372,0.005097967,0.0006990752,0.002084186,0.005222536,0.4754703,0.2329991,0.0002771088,0.2634103,0.005119724],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09568269,0.001110331,0.8926197,0.0002638279,0.001885898,0.0004579894,0.00004214733,0.00516934,0.002768083],"genre_scores_gemma":[0.9713152,0.0001157117,0.02738184,0.00001362488,0.0007243063,0.00004842021,0.000009915409,0.0001643436,0.0002266412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9263431,"threshold_uncertainty_score":0.9996119,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119273823","doi":"10.1109/tbc.2007.891835","title":"Technical Review on Chinese Digital Terrestrial Television Broadcasting Standard and Measurements on Some Working Modes","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":249,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Waterloo; Tsinghua University","keywords":"Digital television; Baseband; Computer science; Terrestrial television; Digital terrestrial television; High-definition television; Digital Video Broadcasting; Telecommunications; Broadcasting (networking); Bandwidth (computing); Electronic engineering; Analog television; Digital broadcasting; Engineering; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.04555051295774119,"gpt":0.2820531292730084,"spread":0.2365026163152672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000799451,0.0005038511,0.0005038995,0.0004666145,0.0005497207,0.0001921312,0.0004095421,0.0002334796,0.00001291497],"category_scores_gemma":[0.0003064194,0.0004495411,0.0001650977,0.0006846531,0.0001200109,0.0003465484,0.00001409912,0.001122984,0.00002434621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854272,"about_ca_system_score_gemma":0.00002243508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006314272,"about_ca_topic_score_gemma":0.00001183939,"domain_scores_codex":[0.9974836,0.00004409911,0.0007693762,0.0004977746,0.0005788405,0.0006263174],"domain_scores_gemma":[0.9982209,0.0007442157,0.0001417567,0.0006949718,0.00005218829,0.0001460217],"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":[0.0001541626,0.0001352797,0.0001442159,0.0001922327,0.00004522965,0.00001303516,0.00003849125,0.02593918,0.006543446,0.00002145759,0.0001358629,0.9666374],"study_design_scores_gemma":[0.02934124,0.01530989,0.009503061,0.2170045,0.001743518,0.002317911,0.002045202,0.3361192,0.318537,0.004883026,0.04355996,0.01963548],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5783226,0.006015798,0.3981419,0.0005242166,0.001301007,0.001609451,0.0000846563,0.00570164,0.008298749],"genre_scores_gemma":[0.9913254,0.001417367,0.006862102,0.0001103111,0.0001258467,0.00003900348,0.000006623133,0.00009358166,0.00001980238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9470019,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142677209","doi":"10.1109/tbc.2010.2086750","title":"Study of Rating Scales for Subjective Quality Assessment of High-Definition Video","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"National Telecommunications and Information Administration","keywords":"Subjective video quality; Computer science; Video quality; Standardization; Quality (philosophy); Rating scale; Context (archaeology); Data mining; Artificial intelligence; Image quality; Statistics; Metric (unit); Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.09134018622709314,"gpt":0.3760995127797918,"spread":0.2847593265526986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282382,0.0001687324,0.0003610231,0.0001885151,0.0002956473,0.00006172644,0.0003490462,0.00007096296,0.000007947841],"category_scores_gemma":[0.00006409991,0.0001696059,0.0001365536,0.0003724815,0.0000596622,0.0004831012,0.000006661407,0.0003355568,0.000001016448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004529307,"about_ca_system_score_gemma":0.0001157857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005632266,"about_ca_topic_score_gemma":0.000491525,"domain_scores_codex":[0.9979113,0.0002484598,0.0007524888,0.0004095999,0.0004475345,0.0002305834],"domain_scores_gemma":[0.9973245,0.00128287,0.0004510747,0.0005112941,0.0003756808,0.00005459102],"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":[0.0002180601,0.01232284,0.002721169,0.0007382697,0.000517575,0.000009563732,0.01679391,0.02605098,0.5112444,0.04094644,0.00002519323,0.3884116],"study_design_scores_gemma":[0.008693529,0.005894174,0.09254475,0.0003699898,0.0002330323,0.00002800781,0.01305977,0.1086198,0.7607036,0.008633768,0.00001701202,0.001202613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4522878,0.000001454671,0.546747,0.00004360227,0.0003662137,0.000357564,0.00001738443,0.00004376744,0.0001352521],"genre_scores_gemma":[0.8682975,8.659705e-7,0.1315067,0.00002619131,0.00003555325,0.0001101434,0.000001501023,0.00001107826,0.00001053226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4160097,"threshold_uncertainty_score":0.6916327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2800873232","doi":"10.1109/tbc.2018.2822870","title":"A Quality-of-Experience Database for Adaptive Video Streaming","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quality of experience; Generalizability theory; Adaptation (eye); Streaming algorithm; Multimedia; Video quality; Database; Real-time computing; Data mining; Computer network; Quality of service; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1119910036064286,"gpt":0.3790264730179904,"spread":0.2670354694115618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707538,0.0001669213,0.0002280804,0.0001464274,0.0004237773,0.00007946914,0.0005093234,0.00004877569,0.00002125204],"category_scores_gemma":[0.00005843559,0.0001693684,0.0001253726,0.0004144221,0.0001349402,0.0008328159,0.000007921592,0.0001467929,0.00001676026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005724567,"about_ca_system_score_gemma":0.0001008587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002340502,"about_ca_topic_score_gemma":0.00006004468,"domain_scores_codex":[0.9982579,0.0001205331,0.0004810913,0.0004760798,0.00032705,0.0003373687],"domain_scores_gemma":[0.998104,0.0007486352,0.0002021201,0.0005917051,0.0002656215,0.00008793305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003092727,0.0009342041,0.0000567417,0.0002143538,0.0001360659,0.000009320906,0.02041906,0.001812507,0.1510198,0.01344984,0.0001924948,0.8114463],"study_design_scores_gemma":[0.001426602,0.001190219,0.0002426468,0.0003470116,0.00002821256,0.00001768466,0.002537038,0.272139,0.7199751,0.0007204971,0.0007660793,0.0006100379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02471784,0.00001435645,0.97374,0.0001099491,0.0005356211,0.0002662723,0.00004972854,0.0001204712,0.0004457831],"genre_scores_gemma":[0.7968724,0.000002285176,0.2026823,0.0001761361,0.00008001507,0.00006608543,0.000001176523,0.00001036527,0.0001092897],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8108363,"threshold_uncertainty_score":0.6906644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2134957651","doi":"10.1109/tbc.2004.834027","title":"Transmitter Identification Using Embedded Pseudo Random Sequences","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Transmitter; Interference (communication); Electronic engineering; Computer science; Truncation (statistics); Noise (video); SIGNAL (programming language); Mathematics; Telecommunications; Algorithm; Engineering; Channel (broadcasting); Statistics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02646987877899584,"gpt":0.2710704395564647,"spread":0.2446005607774689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586196,0.0002142778,0.0001982198,0.000224276,0.0002891775,0.0000635245,0.0002527261,0.0001051375,0.00003724476],"category_scores_gemma":[0.000005805331,0.000240099,0.0001104976,0.0003871986,0.00007323863,0.0004710807,7.999309e-7,0.0003679787,0.00003374373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204967,"about_ca_system_score_gemma":0.00002494452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003917534,"about_ca_topic_score_gemma":0.00001763306,"domain_scores_codex":[0.9988329,0.00004087562,0.0004389829,0.0002267707,0.0001979404,0.0002625447],"domain_scores_gemma":[0.9992815,0.00009397983,0.00006713716,0.0004300967,0.00006116445,0.00006615572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001116985,0.00002741177,0.000001201475,0.00002650531,0.00002046014,0.000001866063,0.0004633615,0.7390752,0.2298238,0.00002492146,0.000002535208,0.03052154],"study_design_scores_gemma":[0.0009203269,0.00002229553,0.00001656987,0.0001897485,0.00003762359,0.00004406657,0.0001822535,0.1769904,0.8203551,0.0008471155,0.00006142461,0.0003330896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1525042,0.00008344652,0.845434,0.00005039211,0.0002354885,0.0002394243,0.0000102489,0.00115239,0.0002904659],"genre_scores_gemma":[0.9423534,0.0001255445,0.05728453,0.00004057516,0.00003515316,0.00007404554,0.000002987219,0.00005967122,0.00002413133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7898492,"threshold_uncertainty_score":0.9790955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135703115","doi":"10.1109/11.868925","title":"Comparison of terrestrial DTV transmission systems: the ATSC 8-VSB, the DVB-T COFDM, and the ISDB-T BST-OFDM","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Digital television; Digital Video Broadcasting; DVB-T; Digital terrestrial television; Transmission (telecommunications); Computer science; Single-frequency network; Terrestrial television; Electronic engineering; Transmission system; Cable television; Telecommunications; Digital broadcasting; Engineering; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.03024876371253614,"gpt":0.2662908501816064,"spread":0.2360420864690702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005320605,0.0002415906,0.0003367159,0.00008119532,0.0009042489,0.0001171462,0.0006675903,0.0001390952,0.0000586961],"category_scores_gemma":[0.0000199967,0.0001265873,0.0001358789,0.0004226416,0.0005058199,0.0001020805,0.000004480755,0.0007940422,0.00001328428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003634869,"about_ca_system_score_gemma":0.00001971236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002231527,"about_ca_topic_score_gemma":0.00003636239,"domain_scores_codex":[0.9984854,0.0002033062,0.0005879994,0.0001903926,0.0002409455,0.0002919481],"domain_scores_gemma":[0.997777,0.001294442,0.0001052343,0.000754989,0.00003089259,0.00003747617],"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":[0.000143368,0.00008387733,0.00003127592,0.00006678886,0.00011353,7.029056e-7,0.002405916,0.3608318,0.001345452,0.0001039929,0.0005087583,0.6343645],"study_design_scores_gemma":[0.002139636,0.0001429153,0.000334165,0.0004842457,0.000232795,0.00008122854,0.003764735,0.9569526,0.008320049,0.0001413374,0.02703406,0.0003722073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7506965,0.006589428,0.2316376,0.003559511,0.001001275,0.001802096,0.00004936211,0.001402609,0.003261667],"genre_scores_gemma":[0.9983615,0.0006546861,0.0006086641,0.00001998226,0.00006255149,0.0001161765,0.000001534672,0.00003522208,0.0001396259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6339923,"threshold_uncertainty_score":0.6954842,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130258422","doi":"10.1109/tbc.2003.817096","title":"Fast simulation of diversity nakagami fading channels using finite-state markov models","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of Patras","keywords":"Nakagami distribution; Fading; Computer science; Bit error rate; Markov chain; Waveform; Diversity combining; Diversity gain; Signal-to-noise ratio (imaging); Algorithm; Channel (broadcasting); Electronic engineering; Markov process; Channel state information; Envelope (radar); Simulation; Statistics; Telecommunications; Mathematics; Engineering; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.06288957464712279,"gpt":0.2733565058684727,"spread":0.2104669312213499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650422,0.0001911053,0.0002122815,0.0002721558,0.0003538828,0.00001824738,0.000172929,0.00008228718,0.00002188459],"category_scores_gemma":[0.00001766265,0.0002407367,0.00009086426,0.0003967056,0.00004400242,0.0004821072,0.000005038337,0.0002865253,0.000002821298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554367,"about_ca_system_score_gemma":0.00001234619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244698,"about_ca_topic_score_gemma":0.000004296568,"domain_scores_codex":[0.9989837,0.00006579841,0.000339456,0.0001793751,0.000187646,0.0002439884],"domain_scores_gemma":[0.999076,0.0003345715,0.00009789992,0.0003340316,0.00009794432,0.00005952051],"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":[0.000007940204,0.0000293015,0.000007304986,0.00004521845,0.00002371146,0.000001442066,0.0007980499,0.9705167,0.005433182,0.00001615761,6.320779e-7,0.0231204],"study_design_scores_gemma":[0.0001830761,0.00001794669,0.000002427984,0.0001249622,0.00001762936,0.00000350987,0.00009873346,0.9047657,0.09413193,0.0004491508,0.00001422238,0.0001907126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1097442,0.00004600618,0.8886738,0.000001836452,0.0001912443,0.0001704484,0.00002135159,0.0004463669,0.0007047731],"genre_scores_gemma":[0.9657385,0.0000631954,0.03408712,0.000008259767,0.000008381993,0.000008938051,0.000001529982,0.00004636836,0.0000377116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8559943,"threshold_uncertainty_score":0.9816958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169662561","doi":"10.1109/tbc.2007.891700","title":"Video Quality Metric for Bit Rate Control via Joint Adjustment of Quantization and Frame Rate","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Quantization (signal processing); Video quality; Rate–distortion optimization; Computer science; Metric (unit); Computer vision; Inter frame; Artificial intelligence; Mathematics; Frame (networking); Block-matching algorithm; Reference frame; Video tracking; Video processing; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.05084400901924657,"gpt":0.3002236580874608,"spread":0.2493796490682142,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501764,0.0001622519,0.0002852558,0.0004656882,0.0002539353,0.00005548562,0.0002579833,0.0001092799,0.00000327468],"category_scores_gemma":[0.0001489901,0.0001473405,0.000093084,0.0007771309,0.00005902716,0.0002421108,0.000005749323,0.0001845011,0.000002400699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004835968,"about_ca_system_score_gemma":0.0000266555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007072227,"about_ca_topic_score_gemma":0.00001240329,"domain_scores_codex":[0.9984946,0.0001127373,0.0005442126,0.0003790642,0.0001856405,0.0002837525],"domain_scores_gemma":[0.9981141,0.00102595,0.0002740865,0.0003558177,0.0001642178,0.00006582253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001209751,0.0001987986,0.00006380038,0.0001186718,0.00006691779,0.00000194014,0.0002884494,0.02351806,0.1731852,0.0027903,0.0000313404,0.7996155],"study_design_scores_gemma":[0.001821089,0.0004793438,0.003702465,0.0001750743,0.00004845098,0.000009932217,0.0001682588,0.3664459,0.6241947,0.002489769,0.0001407748,0.0003241655],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03811772,0.0001968254,0.9602896,0.0002337194,0.0004735278,0.0003246723,0.00001022171,0.0003193208,0.00003436641],"genre_scores_gemma":[0.9714535,0.00003875631,0.02827007,0.0001315901,0.00002026377,0.00003375884,5.61222e-7,0.00001049659,0.0000410153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9333358,"threshold_uncertainty_score":0.600837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123898224","doi":"10.1109/tbc.2010.2043895","title":"Motion-Compensated Frame Rate Up-Conversion—Part II: New Algorithms for Frame Interpolation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Motion estimation; Quarter-pixel motion; Motion interpolation; Motion compensation; Computer vision; Interpolation (computer graphics); Computer science; Algorithm; Artificial intelligence; Frame rate; Block-matching algorithm; Motion vector; Mathematics; Motion (physics); Video processing; Video tracking","retraction":null,"screen_n_in":null,"score":{"opus":0.03215415698341764,"gpt":0.2913613674559246,"spread":0.2592072104725069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002963078,0.0002534743,0.0002221502,0.0002654537,0.000841241,0.0002106011,0.0004880382,0.0001350789,0.0001998628],"category_scores_gemma":[0.00007065658,0.0002604464,0.0001655805,0.0004969143,0.00005224331,0.001178453,0.000009820168,0.0006796882,0.000104263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004705286,"about_ca_system_score_gemma":0.00008790834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004636729,"about_ca_topic_score_gemma":0.000008856467,"domain_scores_codex":[0.9982828,0.00004583,0.0004079334,0.0006048648,0.0002374509,0.0004210658],"domain_scores_gemma":[0.9985573,0.0003446562,0.0001750008,0.0005066427,0.0001907078,0.0002257193],"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":[0.00005205889,0.0001623949,0.00001757193,0.00002232384,0.00003813172,0.000003844361,0.001248586,0.006859011,0.1003471,0.0007114995,0.0008157971,0.8897217],"study_design_scores_gemma":[0.0009715021,0.0001264219,0.00005287248,0.00008027181,0.00001493051,0.00002963537,0.00006669153,0.9352472,0.05352879,0.0009573809,0.008615966,0.0003083436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007003365,0.000008710163,0.9850847,0.0009738343,0.005879023,0.0003435418,0.00001144192,0.0004669883,0.000228376],"genre_scores_gemma":[0.6281171,0.000005362838,0.3688388,0.0006738115,0.0002333981,0.00002573051,0.000005634321,0.00003318029,0.002066999],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9283882,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005801438","doi":"10.1109/tbc.2020.2968730","title":"Deep Learning-Based Resource Allocation for 5G Broadband TV Service","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Computer science; Multicast; Unicast; Computer network; Resource allocation; Quality of service; Multi-frequency network; Wireless broadband; Wireless network; Wireless; Telecommunications; Heterogeneous network","retraction":null,"screen_n_in":null,"score":{"opus":0.02980484242509043,"gpt":0.231484700483069,"spread":0.2016798580579786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001384692,0.0002454444,0.0002129391,0.0001477399,0.000449245,0.00007836401,0.0003725799,0.0001671067,0.00004005159],"category_scores_gemma":[0.00007338007,0.0002770314,0.0001077352,0.0006734112,0.00004040205,0.00012795,0.000001785828,0.0005710177,0.00004478961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007776044,"about_ca_system_score_gemma":0.00002220738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002116293,"about_ca_topic_score_gemma":0.00003265423,"domain_scores_codex":[0.9988301,0.00004111502,0.0003394799,0.0002941765,0.0001489642,0.0003461611],"domain_scores_gemma":[0.9989728,0.0003981169,0.00007143164,0.0003489482,0.0001092474,0.00009944737],"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":[0.00003223099,0.00003109606,0.000007954371,0.0001463691,0.00002851914,6.093549e-7,0.0003161482,0.8682134,0.005876571,0.000006914992,0.0001760146,0.1251641],"study_design_scores_gemma":[0.0006103889,0.0001524343,0.0000257698,0.00007966942,0.00003947836,0.000004503268,0.0003513962,0.9363686,0.04540434,0.0000141473,0.0166554,0.0002938872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01889212,0.0001813069,0.9749189,0.001924595,0.0001241271,0.0003695538,0.00001190532,0.002919426,0.0006580631],"genre_scores_gemma":[0.9814216,0.00002418319,0.01779243,0.0003914067,0.00006639917,0.0001650612,0.00001962826,0.00008230714,0.00003691198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625295,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156186632","doi":"10.1109/tbc.2009.2020451","title":"An Overview of IPTV Standards Development","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"IPTV; Interoperability; Implementation; Broadband; Telecommunications; Computer science; Digital television; Interactive television; World Wide Web; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1174968347970417,"gpt":0.4156359292653926,"spread":0.2981390944683509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707326,0.0000713175,0.0001212296,0.0001265762,0.0004611327,0.0000171922,0.0002711482,0.00008813976,0.0003212033],"category_scores_gemma":[0.00003237948,0.0000757189,0.00003925079,0.0003064339,0.0001067066,0.0001189642,5.571181e-7,0.0001646273,0.00001046291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131575,"about_ca_system_score_gemma":0.0002584513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681285,"about_ca_topic_score_gemma":0.0006426037,"domain_scores_codex":[0.9990366,0.0001165268,0.0002264813,0.0001251322,0.0003209084,0.0001743436],"domain_scores_gemma":[0.9993722,0.00008628627,0.00007857688,0.00025059,0.0001391533,0.00007313827],"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":[0.00001175012,0.0002123532,0.0000256681,0.000005905498,0.000008917996,5.996737e-7,0.008169138,0.0002563024,0.001812239,0.002040258,0.00002616483,0.9874307],"study_design_scores_gemma":[0.004074342,0.00152953,0.009506776,0.001148923,0.000144457,0.00001656841,0.02866782,0.008866535,0.2273703,0.004368817,0.712315,0.001990888],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3358359,0.0008044178,0.6115868,0.003280791,0.0007514225,0.0006620723,0.00003618828,0.0009787222,0.04606364],"genre_scores_gemma":[0.9877838,0.0002549616,0.01166519,0.0001201326,0.00001612094,0.000006939254,8.64704e-7,0.000005031828,0.0001469819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9854398,"threshold_uncertainty_score":0.3546706,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2186519857","doi":"10.1109/tbc.2015.2492458","title":"Wireless Resource Virtualization With Device-to-Device Communication Underlaying LTE Network","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Virtualization; Computer network; Heuristic; Wireless; Underlay; Wireless network; Interference (communication); Integer programming; Cellular network; Distributed computing; Signal-to-noise ratio (imaging); Algorithm; Telecommunications; Channel (broadcasting); Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.03456701346363553,"gpt":0.2506732028725306,"spread":0.2161061894088951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003174217,0.0002618859,0.0002364566,0.0001773773,0.0003346134,0.0000867082,0.0002069147,0.0001117416,0.000007709213],"category_scores_gemma":[0.00001393688,0.0002835821,0.00003607475,0.001014658,0.00002857384,0.000426668,0.000002822671,0.0003073364,0.00005666227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315393,"about_ca_system_score_gemma":0.00003640971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004151655,"about_ca_topic_score_gemma":0.0001882523,"domain_scores_codex":[0.998583,0.0001170577,0.0003975693,0.000277111,0.0002620576,0.0003632397],"domain_scores_gemma":[0.998852,0.0001835036,0.0001005678,0.0004815149,0.000180592,0.0002018564],"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":[0.00003865453,0.00001929956,0.00003229832,0.00003925971,0.00003261223,0.000001603227,0.001157619,0.982352,0.000511081,0.00003899666,0.0001531992,0.01562334],"study_design_scores_gemma":[0.0008497775,0.0001243596,0.0000193047,0.0008089049,0.00006358175,0.00003629668,0.001692922,0.989705,0.003700379,0.00002835799,0.002438128,0.000532981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01835036,0.0001280119,0.9766557,0.00005270717,0.0002586339,0.0004417998,0.00000539077,0.0008952041,0.003212187],"genre_scores_gemma":[0.9692497,0.00001676001,0.03009471,0.0001290811,0.0001020559,0.00009147697,0.00001747682,0.0001255459,0.0001731521],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9508994,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129539511","doi":"10.1109/tbc.2011.2105630","title":"The Effect of Crosstalk on the Perceived Depth From Disparity and Monocular Occlusions","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"York University; Ontario Centres of Excellence; McGill University","keywords":"Crosstalk; Monocular; Stereoscopy; Perception; Depth perception; Computer science; Computer vision; Artificial intelligence; Optics; Psychology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02020106916853565,"gpt":0.2291569108383905,"spread":0.2089558416698549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124507,0.000161686,0.0001459433,0.00003926072,0.0004580294,0.00003137166,0.0001995721,0.00006658019,0.00001592848],"category_scores_gemma":[0.000114648,0.00009482896,0.00006637447,0.0001335562,0.0002809985,0.00008084743,0.000005028713,0.000434403,0.00001029632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003053552,"about_ca_system_score_gemma":0.000003141851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007714379,"about_ca_topic_score_gemma":0.00003917244,"domain_scores_codex":[0.9993001,0.00004292412,0.0001705467,0.0001596402,0.0001127519,0.0002140443],"domain_scores_gemma":[0.9982936,0.001260204,0.00002927244,0.0003588599,0.00002174974,0.00003635254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003578327,0.0001512945,0.002137425,0.0001148922,0.000489877,0.00003153193,0.003051044,0.1281829,0.1159319,0.0004287192,0.0001295973,0.748993],"study_design_scores_gemma":[0.0008107906,0.0004617486,0.01717717,0.0003051778,0.0001697932,0.00001402013,0.0006051356,0.3593635,0.618817,0.001637564,0.0001729172,0.0004651588],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7323971,0.0001041407,0.2658803,0.00007059983,0.0001640323,0.000185697,0.0000191565,0.0003692474,0.0008096769],"genre_scores_gemma":[0.9957542,0.00006779817,0.004079501,0.00001239683,0.000008854233,0.00003433017,3.945144e-7,0.00002513403,0.0000173735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7485279,"threshold_uncertainty_score":0.3867013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130864343","doi":"10.1109/tbc.2010.2043896","title":"Motion-Compensated Frame Rate Up-Conversion—Part I: Fast Multi-Frame Motion Estimation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Motion estimation; Quarter-pixel motion; Motion interpolation; Block-matching algorithm; Computer science; Computer vision; Motion compensation; Motion field; Interpolation (computer graphics); Maximum a posteriori estimation; Frame (networking); Frame rate; Artificial intelligence; Motion (physics); Inter frame; Reference frame; Algorithm; Mathematics; Video processing; Telecommunications; Video tracking; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.03051193962009272,"gpt":0.2595124744239057,"spread":0.229000534803813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004009556,0.0003128669,0.0002584297,0.0004215186,0.0008478048,0.0003251411,0.000832496,0.0003030676,0.0001043886],"category_scores_gemma":[0.0001154346,0.0003082101,0.0001487958,0.0007617963,0.0001123182,0.0009026616,0.00001645422,0.001115785,0.0003619449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008050511,"about_ca_system_score_gemma":0.00006590455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006243149,"about_ca_topic_score_gemma":0.00001441734,"domain_scores_codex":[0.9979141,0.0001144372,0.0004590489,0.0007066425,0.0003571132,0.0004486885],"domain_scores_gemma":[0.9982824,0.0002708275,0.0002321959,0.0008741823,0.0002038741,0.0001365036],"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":[0.00002085629,0.0003032503,0.00006030232,0.00003562546,0.00003436978,0.000009977515,0.0007104672,0.07750287,0.0953396,0.0005406928,0.0001682131,0.8252738],"study_design_scores_gemma":[0.0006137546,0.0000646133,0.0003837472,0.0001026479,0.00001536984,0.00003540272,0.00008405261,0.8112261,0.18651,0.0002834157,0.0003751078,0.0003057974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1060065,0.00000820307,0.8874474,0.0006437646,0.003735413,0.000222549,0.000008217813,0.001826971,0.0001010307],"genre_scores_gemma":[0.9240314,0.000007413483,0.07481797,0.000140681,0.00004894467,0.00004692057,0.000004140241,0.00002433016,0.0008781435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.824968,"threshold_uncertainty_score":0.999937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002361539","doi":"10.1109/tbc.2012.2189338","title":"A Mutual Distortion and Impairment Compensator for Wideband Direct-Conversion Transmitters Using Neural Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Transmitter; Wideband; Feed forward; Linearization; Distortion (music); Nonlinear distortion; Amplifier; Electronic engineering; Artificial neural network; Feedforward neural network; Computer science; Control theory (sociology); Adjacent channel power ratio; Nonlinear system; Engineering; Predistortion; Telecommunications; Artificial intelligence; Channel (broadcasting); CMOS; Control (management); Control engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02307741007230541,"gpt":0.238138272326144,"spread":0.2150608622538386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001362271,0.0002316986,0.0002062539,0.0001066568,0.0002637661,0.00002988426,0.00005305089,0.00008450896,0.00001416894],"category_scores_gemma":[0.000002548923,0.0002522417,0.00009297611,0.0001296766,0.00004350248,0.0003958848,6.875416e-7,0.0002007073,0.000001997928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005698,"about_ca_system_score_gemma":0.000005955656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001184208,"about_ca_topic_score_gemma":0.00000322463,"domain_scores_codex":[0.9989355,0.00003026951,0.0002490917,0.0002019338,0.0001157959,0.0004674183],"domain_scores_gemma":[0.9994336,0.0002054838,0.00003971088,0.000126977,0.00002101762,0.0001731797],"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":[0.0001082126,0.00005303376,0.0002206859,0.00009220155,0.00005311499,0.000001307655,0.0009781832,0.9546731,0.009452149,0.000001222879,0.00005051556,0.03431625],"study_design_scores_gemma":[0.0007975172,0.00009216158,0.0001666737,0.000065929,0.00009817074,0.00003739808,0.0001329309,0.9844496,0.01347505,0.000002635204,0.0003679123,0.0003140137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2714467,0.0002095396,0.7266275,0.000008269331,0.001145108,0.0003149042,0.0000156713,0.0002044322,0.00002784528],"genre_scores_gemma":[0.9939644,0.00001630047,0.005698523,0.00004434464,0.0001465269,0.0000411926,0.000003829937,0.00006445732,0.00002038933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7225177,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145966267","doi":"10.1109/tbc.2005.860536","title":"Signal Mappings of 8-ary Constellations for Bit Interleaved Coded Modulation With Iterative Decoding","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Additive white Gaussian noise; Computer science; Decoding methods; Algorithm; Constellation diagram; Modulation (music); Transmission (telecommunications); Constellation; Bit error rate; Demodulation; Spectral efficiency; Mutual information; Bandwidth (computing); Channel (broadcasting); Theoretical computer science; Telecommunications; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.0167179009125357,"gpt":0.2346579451068677,"spread":0.217940044194332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007962313,0.0001649355,0.0001935592,0.0002430511,0.0001773012,0.00002451949,0.000104888,0.00006738156,0.00002479082],"category_scores_gemma":[0.000004713389,0.0001757982,0.00006668086,0.0002738036,0.00006858229,0.0002567542,0.000001019619,0.0001744293,0.000001493563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009341083,"about_ca_system_score_gemma":0.00001778534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829418,"about_ca_topic_score_gemma":0.00003107893,"domain_scores_codex":[0.9991639,0.00002428187,0.000378458,0.0001562712,0.0001100537,0.0001670907],"domain_scores_gemma":[0.9991295,0.0003708956,0.0001110706,0.0002051845,0.0001489623,0.00003433325],"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":[0.00003376848,0.00003542072,0.0000269116,0.00005887191,0.00003144641,3.002789e-7,0.0002518121,0.8702034,0.08853985,0.0001793914,0.00002136254,0.04061749],"study_design_scores_gemma":[0.0003771315,0.00006977584,0.00004313545,0.0002511388,0.0000194824,0.000006326978,0.0001139838,0.6753328,0.3231312,0.0004106434,0.00007954406,0.0001647795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0630533,0.00003170188,0.9349125,0.00002242715,0.00005115625,0.0003998559,0.00004569116,0.0004675371,0.001015852],"genre_scores_gemma":[0.8752831,0.000008734453,0.1244794,0.00001034731,0.00002003468,0.00009932486,0.00001588402,0.0000398013,0.00004336347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8122298,"threshold_uncertainty_score":0.7168841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2796412058","doi":"10.1109/tbc.2018.2818402","title":"Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":64,"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","keywords":"Contrast (vision); Minkowski distance; Metric (unit); Artificial intelligence; Entropy (arrow of time); Computer science; Pattern recognition (psychology); Source code; MATLAB; Image quality; Minkowski space; Mathematics; Data mining; Computer vision; Euclidean distance; Image (mathematics); Engineering; Physics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.138235892789798,"gpt":0.3852778199425277,"spread":0.2470419271527297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007124396,0.0001973146,0.0002175704,0.0001047314,0.0006469068,0.000229059,0.0002946741,0.00007325799,0.00000890547],"category_scores_gemma":[0.00002482808,0.0001918594,0.00007320601,0.0001872177,0.0001386098,0.0002629835,0.000005877952,0.0001992493,0.0000225149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160148,"about_ca_system_score_gemma":0.0001514271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004761963,"about_ca_topic_score_gemma":0.0000254645,"domain_scores_codex":[0.998192,0.000125444,0.0004402555,0.0005824683,0.0003205281,0.0003392837],"domain_scores_gemma":[0.9984601,0.0003673462,0.000179129,0.0004634395,0.0004134011,0.0001166075],"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":[0.0002398279,0.001986829,0.0001411275,0.0003472302,0.0001770349,0.000003446842,0.003850788,0.0584398,0.2453194,0.02355779,0.0006781644,0.6652585],"study_design_scores_gemma":[0.0006090484,0.0001810983,0.00264232,0.00004383316,0.00002082696,0.000003390869,0.0000792356,0.9916838,0.004189957,0.0002167303,0.00009504802,0.0002347192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01852432,0.00001011759,0.9790058,0.0004042668,0.0003952052,0.0004090825,0.00005783133,0.0001859497,0.001007494],"genre_scores_gemma":[0.8875715,0.000004105774,0.1117606,0.0002071954,0.00005699508,0.0001099814,0.000003418842,0.00001222624,0.0002740926],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.933244,"threshold_uncertainty_score":0.78238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977020763","doi":"10.1109/tbc.2002.1021274","title":"On-channel repeater for digital television broadcasting service","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Repeater (horology); Transmitter; Telecommunications; Digital television; Broadcasting (networking); Digital broadcasting; Channel (broadcasting); Transmission (telecommunications); Computer science; Service (business); Terrestrial television; Digital radio; Focus (optics); Electronic engineering; Computer network; Engineering; Encoding (memory); Business","retraction":null,"screen_n_in":null,"score":{"opus":0.03703341084394172,"gpt":0.2250452735706521,"spread":0.1880118627267104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001542059,0.0003971633,0.0003022768,0.0003653934,0.0008995146,0.0001972226,0.0005045619,0.0002150553,0.00008911968],"category_scores_gemma":[0.00008856606,0.0004008484,0.0001802185,0.0006197128,0.00005125573,0.0003714701,0.00001401252,0.0005832112,0.0001880812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284815,"about_ca_system_score_gemma":0.000005888005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118921,"about_ca_topic_score_gemma":0.000008548732,"domain_scores_codex":[0.998201,0.00001989443,0.0005109644,0.0004288892,0.0002420573,0.0005972574],"domain_scores_gemma":[0.998207,0.0007130645,0.0000862283,0.0007652075,0.0001284856,0.0001000484],"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":[0.00003054715,0.0002056064,0.000007114002,0.0001601417,0.00007901692,0.000005921329,0.0006217024,0.4291283,0.001820198,0.00003973633,0.001257729,0.566644],"study_design_scores_gemma":[0.0009733413,0.000333323,0.00002024565,0.0005544876,0.00004665052,0.00009000887,0.0003410077,0.9800248,0.01364604,0.0005200084,0.00269182,0.0007582567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1847415,0.0002324173,0.8037037,0.0004600347,0.0008551307,0.0006623598,0.0001498059,0.004198132,0.004997009],"genre_scores_gemma":[0.9920833,0.00006222774,0.006996227,0.0001348807,0.00008310947,0.0001582545,0.00000799078,0.0001224238,0.000351598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8073418,"threshold_uncertainty_score":0.9998443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110585393","doi":"10.1109/tbc.2014.2304134","title":"Raptor-Like Rate Compatible LDPC Codes and Their Puncturing Performance for the Cloud Transmission System","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Low-density parity-check code; Puncturing; Turbo code; Raptor code; Forward error correction; Computer science; Concatenated error correction code; Code word; Serial concatenated convolutional codes; Algorithm; Block code; Electronic engineering; Decoding methods; Telecommunications; Error floor; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02195811863038086,"gpt":0.2309530373258717,"spread":0.2089949186954908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168855,0.0002682424,0.0002567024,0.0001291148,0.001204623,0.0002010429,0.0005622933,0.00008045333,0.000001687707],"category_scores_gemma":[0.00001224666,0.0001793132,0.0001118464,0.0002775654,0.00006179779,0.0003327641,0.000006171718,0.0003256089,0.000003587518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006651078,"about_ca_system_score_gemma":0.00002987228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004578173,"about_ca_topic_score_gemma":0.00001289169,"domain_scores_codex":[0.9985489,0.00015413,0.0003191953,0.0004533481,0.0001606776,0.0003637254],"domain_scores_gemma":[0.9976877,0.001497382,0.0001349196,0.0004979932,0.0000947514,0.0000872488],"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":[0.0000660151,0.00004975019,0.00003847224,0.0003576194,0.00004379422,6.711345e-7,0.002891455,0.03656692,0.01619281,0.0003655491,0.00007283803,0.9433541],"study_design_scores_gemma":[0.0003116349,0.0001915457,0.00008022926,0.0003768642,0.00001842511,0.00004372507,0.0001709935,0.8509503,0.1458866,0.00004490633,0.001715966,0.0002087853],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05747075,0.00008958695,0.9395711,0.000175486,0.001095876,0.0004719792,0.000003674098,0.0009071935,0.0002143683],"genre_scores_gemma":[0.9713752,0.00003029005,0.02816387,0.0001064162,0.00009753852,0.0001115025,4.605026e-7,0.00002871386,0.00008606695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9431453,"threshold_uncertainty_score":0.9265105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3110810679","doi":"10.1109/tbc.2020.3039696","title":"A SLM Scheme for PAPR Reduction in Polar Coded OFDM-IM Systems Without Using Side Information","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Orthogonal frequency-division multiplexing; Polar code; Additive white Gaussian noise; Reduction (mathematics); Decoding methods; Bit error rate; Algorithm; Computer science; Electronic engineering; Encoder; Multiplexing; Mathematics; Telecommunications; Channel (broadcasting); Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04226610952381622,"gpt":0.2546449630892719,"spread":0.2123788535654557,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001860228,0.0002437931,0.0002779796,0.000307643,0.0002142639,0.0001047928,0.0001111637,0.0001532393,0.00001146909],"category_scores_gemma":[0.00003833422,0.00029584,0.00009859842,0.0005737687,0.0000328155,0.001027356,0.000001148586,0.0003999272,0.0000346807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310582,"about_ca_system_score_gemma":0.00004830224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205205,"about_ca_topic_score_gemma":0.000006111634,"domain_scores_codex":[0.9985282,0.00003961842,0.000626988,0.0002197868,0.0002290137,0.0003564378],"domain_scores_gemma":[0.9994333,0.00005787837,0.0001115963,0.0001710262,0.00009580906,0.0001303976],"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":[0.00006047677,0.00001745664,0.00002103066,0.0002930476,0.00003877144,7.707054e-7,0.001279423,0.9037829,0.08884677,0.00001370506,0.00006119999,0.005584432],"study_design_scores_gemma":[0.000946456,0.00006037162,0.00001880958,0.0002298762,0.00003628716,0.00007008667,0.001461009,0.963942,0.03134663,0.000006292627,0.001569545,0.0003126384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2531456,0.00006436362,0.7434548,0.00009620648,0.001590857,0.0006605659,0.00005665385,0.0005604412,0.0003705336],"genre_scores_gemma":[0.9888842,0.00001214519,0.01058776,0.00003606454,0.0002563535,0.0001276063,0.00001082478,0.00005828775,0.00002671498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7357386,"threshold_uncertainty_score":0.9999494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2294088060","doi":"10.1109/tbc.2015.2505411","title":"LDM Core Services Performance in ATSC 3.0","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"European Regional Development Fund; Euskal Herriko Unibertsitatea; Eusko Jaurlaritza","keywords":"Digital television; Computer science; Broadcasting (networking); Digital Video Broadcasting; Digital broadcasting; Multiplexing; Digital audio broadcasting; Channel (broadcasting); Enhanced Data Rates for GSM Evolution; Electronic engineering; Telecommunications; Computer network; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02325962740394934,"gpt":0.2220131720675952,"spread":0.1987535446636459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100431,0.0001755202,0.0001526619,0.0002684774,0.0001432715,0.00002369758,0.0003359577,0.000112358,0.00005812181],"category_scores_gemma":[0.000005382865,0.0001404237,0.00004668052,0.0004129987,0.00005360581,0.0002443054,0.000003146922,0.0002751389,0.00011258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082794,"about_ca_system_score_gemma":0.000009656194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105899,"about_ca_topic_score_gemma":0.0001094458,"domain_scores_codex":[0.999099,0.00001194304,0.0002751191,0.0001825687,0.000109082,0.0003222431],"domain_scores_gemma":[0.9993058,0.0001596548,0.00003402805,0.0004354856,0.00002776743,0.00003728149],"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":[0.00001356417,0.00006302784,0.002266461,0.0001086294,0.00002138794,0.00000426624,0.0002347507,0.06149485,0.02218769,0.00002766211,0.00002528208,0.9135524],"study_design_scores_gemma":[0.003866228,0.0005276887,0.03748931,0.005098883,0.00007273941,0.0002090051,0.001311878,0.5799482,0.3551633,0.0004954899,0.01340166,0.002415551],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291041,0.0001103973,0.06722306,0.0001070831,0.000275464,0.0001172271,0.00001372696,0.00133936,0.001709604],"genre_scores_gemma":[0.995231,0.0003738939,0.004137886,0.00001676995,0.0000201619,0.00005204631,7.227815e-7,0.00003569718,0.000131847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9111369,"threshold_uncertainty_score":0.5726314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126785948","doi":"10.1109/tbc.2010.2055673","title":"Pilot-Aided Joint CFO and Doubly-Selective Channel Estimation for OFDM Transmissions","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Maximum a posteriori estimation; Fading; Cramér–Rao bound; Algorithm; Computer science; Carrier frequency offset; Channel (broadcasting); Estimation theory; Parametric statistics; Statistics; Mathematics; Frequency offset; Telecommunications; Maximum likelihood","retraction":null,"screen_n_in":null,"score":{"opus":0.03153950441568718,"gpt":0.2691954794387794,"spread":0.2376559750230922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507243,0.0002124466,0.0001998765,0.0002168565,0.0003894011,0.00003870028,0.0001284544,0.00009229106,0.00001628195],"category_scores_gemma":[0.00002940267,0.0002319941,0.00007058444,0.0002237792,0.00006255208,0.0002980267,0.000001246302,0.0005827275,0.000004423806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005439691,"about_ca_system_score_gemma":0.00001921725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001979622,"about_ca_topic_score_gemma":0.00005873743,"domain_scores_codex":[0.999077,0.00002010064,0.0003090882,0.000228286,0.0001093159,0.000256197],"domain_scores_gemma":[0.9991542,0.0002834263,0.00005475048,0.0003072999,0.00009163534,0.0001086837],"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":[0.00004685652,0.0001014547,0.000001050733,0.000110526,0.00004084971,5.096198e-7,0.0007028891,0.3369882,0.400699,0.0001845204,0.00008791504,0.2610363],"study_design_scores_gemma":[0.0005306982,0.0001330395,0.0000464766,0.0001012312,0.00002654852,0.0000182349,0.00004336623,0.5713233,0.4259796,0.00135154,0.0001983336,0.0002476042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02498667,0.00004304957,0.9722815,0.0001195034,0.0003255962,0.0005750107,0.00003182564,0.00111414,0.0005227164],"genre_scores_gemma":[0.8841959,0.00006596736,0.1151777,0.00002376532,0.0000336333,0.0003797931,0.000005549689,0.00006346182,0.00005426641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8592092,"threshold_uncertainty_score":0.9460447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810054506","doi":"10.1109/tbc.2018.2847464","title":"Fast HEVC Intra Mode Decision Based on RDO Cost Prediction","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encoder; Computer science; Computational complexity theory; Coding (social sciences); Algorithm; Rate–distortion optimization; Algorithmic efficiency; Computation; Real-time computing; Artificial intelligence; Multiview Video Coding; Mathematics; Video processing; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.02819408653178712,"gpt":0.274880010121603,"spread":0.2466859235898158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173655,0.0002346411,0.0001820909,0.0004346755,0.0007758897,0.0002038555,0.00075901,0.0001612136,0.00004130342],"category_scores_gemma":[0.0000493325,0.0002130622,0.0001059184,0.0007143311,0.000107383,0.0003649392,0.000009141219,0.0004459035,0.0001755933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168475,"about_ca_system_score_gemma":0.00005976975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981715,"about_ca_topic_score_gemma":0.00001259494,"domain_scores_codex":[0.9981229,0.00006494152,0.0003316981,0.000616946,0.0004817185,0.0003818231],"domain_scores_gemma":[0.9984565,0.0003564826,0.0001049594,0.0008364148,0.0001397183,0.0001059448],"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":[0.00005715444,0.0001449338,0.00001569035,0.000005461644,0.000007338715,0.000004934075,0.0001267534,0.1133876,0.003060185,0.0001279738,0.0004200378,0.8826419],"study_design_scores_gemma":[0.0004964715,0.0005245134,0.00009865146,0.0003181144,0.000008122813,0.00001494385,0.00004242647,0.8889119,0.1081018,0.000470949,0.0008150999,0.0001970247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.017074,0.000008061881,0.9775196,0.0004297753,0.001608713,0.0002073896,0.0000168699,0.001509643,0.001625974],"genre_scores_gemma":[0.9573455,0.000008189571,0.04200342,0.0003109131,0.00010554,0.00005901628,9.022377e-7,0.00001913542,0.0001473789],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9402715,"threshold_uncertainty_score":0.8688426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162455376","doi":"10.1109/tbc.2008.2006652","title":"Power Alignment of Digital Predistorters for Power Amplifiers Linearity Optimization","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Predistortion; Amplifier; Linearity; Normalization (sociology); RF power amplifier; Linear amplifier; Electronic engineering; Power gain; Control theory (sociology); Power factor; Computer science; Engineering; Electrical engineering; Voltage; CMOS","retraction":null,"screen_n_in":null,"score":{"opus":0.01520059756722909,"gpt":0.2349632724825541,"spread":0.219762674915325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008045154,0.0002137765,0.000212916,0.0001399977,0.00009881204,0.000040569,0.00009742133,0.00009606686,0.0000496709],"category_scores_gemma":[0.00001352871,0.0002450045,0.0001362284,0.0001920317,0.00003620008,0.0003433036,4.948837e-7,0.0001609774,0.000004724156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485748,"about_ca_system_score_gemma":0.00001724825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.681586e-7,"about_ca_topic_score_gemma":2.548495e-7,"domain_scores_codex":[0.9988866,0.000009138935,0.000374067,0.0002375942,0.0001926109,0.0002999236],"domain_scores_gemma":[0.9994078,0.0001157971,0.00006478174,0.0002399865,0.00007279027,0.00009878918],"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":[0.00005443306,0.00008381544,0.000003758843,0.00002010029,0.00004012973,0.000001238137,0.0003673265,0.9878843,0.003628167,0.00002273543,0.0001616559,0.007732309],"study_design_scores_gemma":[0.00308282,0.0016327,0.0001202156,0.0003095558,0.0001599406,0.00004901928,0.0006834565,0.8902305,0.09839229,0.0006646049,0.003219033,0.001455856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003639409,0.00003222272,0.9929382,0.00002131775,0.0007196728,0.0003997613,0.0001382955,0.0003146366,0.001796489],"genre_scores_gemma":[0.9716615,0.000006017077,0.02807932,0.00003393269,0.00002523581,0.00002698168,0.000009593896,0.00004399271,0.0001134217],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9680221,"threshold_uncertainty_score":0.9990993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145040706","doi":"10.1109/tbc.2005.852244","title":"A New ICI Matrices Estimation Scheme Using Hadamard Sequence for OFDM Systems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Minimum mean square error; Estimator; Mathematics; Orthogonal frequency-division multiplexing; Mean squared error; Hadamard matrix; Matrix (chemical analysis); Algorithm; Hadamard transform; Complementary sequences; Orthogonal matrix; Sequence (biology); Mathematical optimization; Statistics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.05520241954507052,"gpt":0.3095405718291527,"spread":0.2543381522840822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001282984,0.0001999938,0.000196374,0.0002104179,0.0002427989,0.00007677719,0.0002155028,0.0001029206,0.00001304728],"category_scores_gemma":[0.00001300031,0.0002358435,0.00007599297,0.0003073683,0.00002092307,0.0005595027,0.00000146126,0.0002391571,0.00001492821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246413,"about_ca_system_score_gemma":0.00003892372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007289511,"about_ca_topic_score_gemma":0.00001104941,"domain_scores_codex":[0.9989715,0.00002115319,0.0003881304,0.0001932813,0.0001607347,0.0002652616],"domain_scores_gemma":[0.9992008,0.0001940232,0.00009347255,0.0003544758,0.00007493476,0.00008232332],"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":[0.000006597134,0.00001119062,0.000001174913,0.00009323964,0.00001640794,2.596676e-7,0.00008497111,0.8280717,0.04417895,0.0000616058,0.00005377346,0.1274202],"study_design_scores_gemma":[0.0002112407,0.00002265085,0.000001312762,0.0002530337,0.00002217704,0.00002162017,0.00004610592,0.9309986,0.06667878,0.00004908687,0.00147759,0.0002178331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009215648,0.000412835,0.9880603,0.00004177538,0.0002303296,0.0004544577,0.00002262546,0.001338207,0.0002238072],"genre_scores_gemma":[0.5162946,0.00005480731,0.4833843,0.00001113686,0.00006246414,0.00006864758,0.000002640345,0.00004299333,0.00007841921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5070789,"threshold_uncertainty_score":0.9617419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390603799","doi":"10.1109/tbc.2023.3345656","title":"Quality-of-Experience Evaluation for Digital Twins in 6G Network Environments","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":46,"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":"Fundamental Research Funds for the Central Universities; Science and Technology Commission of Shanghai Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Quality of experience; Quality of service; Quality (philosophy); Latency (audio); Wireless; Wireless network; Service quality; Multimedia; Service (business); Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.09553419465546326,"gpt":0.3799467047368363,"spread":0.2844125100813731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000876077,0.0001239131,0.0001567509,0.0001252454,0.0001179018,0.0001983006,0.0002590147,0.00004897608,0.00001492167],"category_scores_gemma":[0.00002640724,0.0001284028,0.000108296,0.0004213979,0.00003567239,0.0009612645,0.000004150588,0.000149392,0.00001568556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384591,"about_ca_system_score_gemma":0.00008170945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002786971,"about_ca_topic_score_gemma":0.0000116279,"domain_scores_codex":[0.9983687,0.0001009142,0.0004577125,0.0003839819,0.0004237558,0.000264886],"domain_scores_gemma":[0.9990436,0.0005374493,0.00007008599,0.0002785427,0.00002748955,0.00004276842],"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":[0.00002465582,0.0002651353,0.0001395528,0.0001131183,0.00003597746,0.000004471702,0.004972584,0.1613733,0.003878562,0.00156115,0.00004273012,0.8275887],"study_design_scores_gemma":[0.0006100665,0.0001806093,0.0009647202,0.0003203405,0.00001569134,0.000006076875,0.0003605793,0.9820985,0.01174699,0.00208304,0.001320285,0.0002931572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03834738,0.0001000586,0.9599298,0.0001316928,0.0007321072,0.0003572766,0.00001286407,0.00006327607,0.0003256031],"genre_scores_gemma":[0.9861957,0.000006789371,0.01338104,0.00006469232,0.00005673568,0.0001429298,0.000002725008,0.00001066892,0.0001387191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9478483,"threshold_uncertainty_score":0.5236115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3189734365","doi":"10.1109/tbc.2021.3081861","title":"Integrated Inter-Tower Wireless Communications Network for Terrestrial Broadcasting and Multicasting Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"Eusko Jaurlaritza","keywords":"Computer network; Backhaul (telecommunications); Computer science; Broadcast communication network; Broadcasting (networking); Telecommunications; Multicast; Broadcast domain; Multimedia Broadcast Multicast Service; Broadcast radiation; Wireless network; Atomic broadcast; Single-frequency network; Wireless; Transmission (telecommunications)","retraction":null,"screen_n_in":null,"score":{"opus":0.04332256802921675,"gpt":0.2616311430208408,"spread":0.218308574991624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003954897,0.0003964762,0.0004606221,0.000204857,0.0009518849,0.0003190684,0.0005624341,0.0002594959,0.00001347262],"category_scores_gemma":[0.0001955848,0.0004294695,0.0001452422,0.0007325195,0.0002027458,0.0002395225,0.00002970608,0.0008953115,0.000006804401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498775,"about_ca_system_score_gemma":0.00006413983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007853148,"about_ca_topic_score_gemma":0.0001167495,"domain_scores_codex":[0.9978842,0.0001224493,0.0007667954,0.0004375866,0.0001539652,0.0006349785],"domain_scores_gemma":[0.9967257,0.001672034,0.0001405347,0.00113884,0.0002034011,0.0001195408],"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":[0.00004929844,0.0001807192,0.0001199627,0.0002052521,0.0002747462,0.00001235838,0.0004920971,0.2471824,0.01383343,0.0001972967,0.0006655562,0.736787],"study_design_scores_gemma":[0.0008968065,0.00008200396,0.00002432636,0.0009094042,0.0001021361,0.0001659383,0.001572475,0.9840554,0.004002193,0.0000621683,0.007621928,0.000505216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1023887,0.001383054,0.8914399,0.0001876034,0.001470926,0.0005547397,0.0001141652,0.0018515,0.0006094176],"genre_scores_gemma":[0.9073038,0.0003067671,0.09167091,0.00002535124,0.0001514317,0.000272145,0.00003842459,0.00009729382,0.000133897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8049151,"threshold_uncertainty_score":0.9998157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076511340","doi":"10.1109/tbc.2013.2262692","title":"Bandwidth and Power Scalable Digital Predistorter for Compensating Dynamic Distortions in RF Power Amplifiers","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Predistortion; Amplifier; Bandwidth (computing); Electronic engineering; Computer science; Linearization; Scalability; Power (physics); Engineering; Telecommunications; Nonlinear system; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.00922729636233039,"gpt":0.2146693414076016,"spread":0.2054420450452712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008568628,0.0002800191,0.0002596199,0.000221838,0.0002124503,0.0001493468,0.0001090653,0.0001062532,0.0001196281],"category_scores_gemma":[0.00001986483,0.0003120172,0.00008559975,0.0002306707,0.00007842797,0.0007453892,0.00000191217,0.0003255221,0.00003848318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560567,"about_ca_system_score_gemma":0.00001663931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002022623,"about_ca_topic_score_gemma":0.00002652122,"domain_scores_codex":[0.9985719,0.00001259806,0.0004163797,0.0003559312,0.0001464716,0.0004967673],"domain_scores_gemma":[0.9992061,0.0003011047,0.00004931156,0.0002400604,0.00005536748,0.0001480441],"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":[0.0001025503,0.0003898698,0.001845665,0.0003251351,0.0002320467,0.00001415776,0.004685538,0.8543918,0.03386515,0.0001064541,0.001162114,0.1028795],"study_design_scores_gemma":[0.005535151,0.0007199593,0.01330355,0.0009723637,0.0001350456,0.0001724897,0.003225676,0.9615616,0.00385886,0.002621885,0.00472074,0.003172718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1494776,0.00007067612,0.8472705,0.00002492039,0.0005241185,0.0006092183,0.00008892846,0.0003003024,0.001633665],"genre_scores_gemma":[0.9935879,0.000005612328,0.005644763,0.00003291492,0.00001464592,0.0002535708,0.00000874309,0.00008822892,0.0003635946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8441103,"threshold_uncertainty_score":0.9999332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123380295","doi":"10.1109/tbc.2007.912849","title":"Combine LDPC Codes Over GF(q) With q-ary Modulations for Bandwidth Efficient Transmission","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Institut National de la Recherche Scientifique","funders":"","keywords":"Low-density parity-check code; Computer science; Additive white Gaussian noise; Turbo code; Forward error correction; Transmission (telecommunications); Error detection and correction; Digital Video Broadcasting; Bandwidth (computing); Bit error rate; Concatenated error correction code; Algorithm; Electronic engineering; Decoding methods; Channel (broadcasting); Block code; Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02760566001082492,"gpt":0.2557139146250871,"spread":0.2281082546142622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002438442,0.0002807897,0.0002666873,0.0002978863,0.001043955,0.00006674165,0.0004369838,0.0001010875,0.00002180992],"category_scores_gemma":[0.00001577334,0.0002513447,0.0001518287,0.0006731307,0.00008766365,0.0003042042,0.000003428243,0.0003279134,0.000006504275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067928,"about_ca_system_score_gemma":0.0001298666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006382959,"about_ca_topic_score_gemma":0.0000179862,"domain_scores_codex":[0.9981649,0.0000655106,0.0003543903,0.0005888483,0.0004020959,0.0004242412],"domain_scores_gemma":[0.9985324,0.000473218,0.000125042,0.0005265997,0.0001670139,0.0001757327],"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":[0.0002565876,0.00119281,0.000185187,0.0001099574,0.00009373183,0.00004667877,0.004229061,0.7706528,0.02667223,0.0005342807,0.0005310935,0.1954956],"study_design_scores_gemma":[0.001082423,0.0005679656,0.0005096289,0.0002412599,0.00003224909,0.000201311,0.00002582684,0.9200283,0.07633178,0.0001512693,0.0004127978,0.0004151286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09230734,0.00003175026,0.9050639,0.0002253755,0.000312817,0.0005573143,0.00001210929,0.001083409,0.0004060295],"genre_scores_gemma":[0.8097668,0.000009540116,0.1896831,0.000115181,0.00002980276,0.0001095473,0.000002381401,0.00003500475,0.0002486582],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7174594,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011458873","doi":"10.1109/tbc.2013.2285631","title":"A PSO Based Memory Polynomial Predistorter With Embedded Dimension Estimation","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Predistortion; Amplifier; Computer science; Particle swarm optimization; Dimension (graph theory); Electronic engineering; A priori and a posteriori; Polynomial; Control theory (sociology); Algorithm; Telecommunications; Engineering; Mathematics; Bandwidth (computing); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.00869459380931667,"gpt":0.1981662894239636,"spread":0.1894716956146469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006118551,0.0002541931,0.000183876,0.0001746698,0.0001694122,0.00005384541,0.00009190372,0.00008961577,0.0002668492],"category_scores_gemma":[0.000004756343,0.0002440112,0.00005975227,0.0002202266,0.00004334522,0.0004384688,5.047324e-7,0.0003009323,0.000189437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592049,"about_ca_system_score_gemma":0.00002842189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002911952,"about_ca_topic_score_gemma":0.00000806819,"domain_scores_codex":[0.9988964,0.00002832415,0.0002584718,0.0002652603,0.0002232313,0.0003282691],"domain_scores_gemma":[0.9993429,0.0001338912,0.00004485495,0.0002976586,0.00005721397,0.0001234494],"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":[0.0000348723,0.0000371397,0.000003897057,0.00003606208,0.00002509791,0.000004064737,0.0002694487,0.9221487,0.0243513,3.268487e-7,0.0004771251,0.05261194],"study_design_scores_gemma":[0.0007875739,0.0001186129,0.0001111987,0.000120175,0.00004133162,0.00002251173,0.00007005149,0.9267855,0.07153977,0.000009102375,0.00007485122,0.0003192789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07864865,0.00001756571,0.9185645,0.00002513422,0.0005544368,0.0004234551,0.000009369995,0.0007317836,0.001025136],"genre_scores_gemma":[0.9445989,9.389131e-7,0.05484556,0.00006384708,0.00005216773,0.0001523553,0.000005019981,0.00008005164,0.0002011228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8659503,"threshold_uncertainty_score":0.9950486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2154836893","doi":"10.1109/tbc.2006.879851","title":"Design Procedures and Field Test Results of a Distributed-Translator Network, and a Case Study for an Application of Distributed-Transmission","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Single-frequency network; Broadcasting (networking); Computer science; Transmitter; Transmission (telecommunications); Multipath propagation; Field (mathematics); Quality (philosophy); Quality of service; Computer network; Telecommunications; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.02296758269530835,"gpt":0.2572542633481007,"spread":0.2342866806527923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543314,0.0001801915,0.0002453572,0.0001058535,0.0002165869,0.00002433549,0.0001210317,0.0001223513,4.93e-7],"category_scores_gemma":[0.00003702518,0.0001770248,0.0000383111,0.0003342791,0.00006646145,0.0001176179,0.000002335549,0.0001801096,6.617793e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001732283,"about_ca_system_score_gemma":0.00001723096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104671,"about_ca_topic_score_gemma":0.0002759362,"domain_scores_codex":[0.9989356,0.00003152334,0.0005049567,0.0002377744,0.00008846471,0.0002016765],"domain_scores_gemma":[0.9985741,0.0008696088,0.0001120831,0.0003134896,0.00008715774,0.00004351774],"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":[0.0002463389,0.0008779572,0.000859626,0.0004794621,0.00007269888,0.000009359438,0.000684783,0.6426076,0.03277525,0.00001506137,0.0001314533,0.3212405],"study_design_scores_gemma":[0.002675318,0.002252493,0.0008246358,0.0003152665,0.0002697285,0.0003793002,0.0018193,0.9070755,0.08338237,0.0003562196,0.0001708401,0.000479016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2715902,0.0002012376,0.7270096,0.00002936196,0.00001654281,0.0006422749,0.0002761813,0.0002276723,0.000006982567],"genre_scores_gemma":[0.9639201,0.00004434935,0.03581497,0.000001602593,0.00001643897,0.0001533269,0.00002351985,0.00002368432,0.000001991299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6923299,"threshold_uncertainty_score":0.7218862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996939753","doi":"10.1109/tbc.2019.2954065","title":"Mobile Performance Evaluation for ATSC 3.0 Physical Layer Modulation and Code Combinations Under TU-6 Channel","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Physical layer; Computer science; Channel (broadcasting); Multipath propagation; Code (set theory); Computer network; Modulation (music); Broadcasting (networking); Digital Video Broadcasting; Layer (electronics); Electronic engineering; Telecommunications; Engineering; Wireless; Set (abstract data type)","retraction":null,"screen_n_in":null,"score":{"opus":0.0672851693469744,"gpt":0.2833377653540413,"spread":0.2160525960070669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345454,0.0001680666,0.0001585955,0.0001073053,0.000368744,0.00004968726,0.000136465,0.00008642359,0.000007772256],"category_scores_gemma":[0.00002202711,0.0001825807,0.00005715503,0.0003014222,0.00005031235,0.0002400849,0.000003303348,0.0002529297,0.000009975477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007498226,"about_ca_system_score_gemma":0.00001616008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002963067,"about_ca_topic_score_gemma":0.000006236317,"domain_scores_codex":[0.9991757,0.00002405294,0.0002129077,0.0002194849,0.0001621813,0.0002056925],"domain_scores_gemma":[0.9994217,0.0001529047,0.00003983136,0.0002113612,0.0001177693,0.00005643155],"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":[0.000008311446,0.00005936464,0.000005140947,0.00004394577,0.00002414623,5.398534e-8,0.0006388607,0.8138304,0.007752067,0.0000391734,0.00003964866,0.1775589],"study_design_scores_gemma":[0.0006293596,0.0002055504,0.0002505842,0.00004054461,0.00004920957,0.000003407158,0.0003287891,0.9822531,0.01563372,0.0002142472,0.0002023587,0.0001890949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5073708,0.00006314757,0.4911472,0.0001675052,0.00009555012,0.0004289742,0.00003919056,0.000578042,0.0001095663],"genre_scores_gemma":[0.9940876,0.00007305856,0.005197086,0.00004223775,0.00004949062,0.0004775688,0.00001545087,0.00004049891,0.00001695044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4867168,"threshold_uncertainty_score":0.7445426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133753259","doi":"10.1109/tbc.2011.2115010","title":"Improve the Performance of LDPC Coded QAM by Selective Bit Mapping in Terrestrial Broadcasting System","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Low-density parity-check code; Decoding methods; Quadrature amplitude modulation; QAM; Computer science; Code word; Algorithm; Encoder; Binary number; Digital Video Broadcasting; Modulation (music); Orthogonal frequency-division multiplexing; Broadcasting (networking); Code (set theory); Bit error rate; Electronic engineering; Theoretical computer science; Telecommunications; Mathematics; Arithmetic; Computer network; Channel (broadcasting); Engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0310404839973245,"gpt":0.2300624439180539,"spread":0.1990219599207294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000998053,0.0003141777,0.0003681789,0.0003830602,0.0004034314,0.00007226756,0.001022494,0.0001459461,0.000003465037],"category_scores_gemma":[0.00005213136,0.0002744143,0.0001352658,0.001323384,0.00009686659,0.0005808371,0.00001724831,0.0008001601,0.000009511833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683839,"about_ca_system_score_gemma":0.0001177867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014411,"about_ca_topic_score_gemma":0.00005824707,"domain_scores_codex":[0.9974275,0.000239907,0.0007691556,0.0006098045,0.0003953265,0.0005583679],"domain_scores_gemma":[0.9982587,0.0004921296,0.0004458753,0.0006339271,0.00009503441,0.00007438103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003865625,0.0009042821,0.003892024,0.0005296913,0.0002190233,0.00004856274,0.04134597,0.009544589,0.3799897,0.0002147522,0.0002310199,0.5626938],"study_design_scores_gemma":[0.000619179,0.0003937396,0.0003815386,0.0007236124,0.00001971881,0.00007798056,0.0007333922,0.4791771,0.5174789,0.00001489236,0.00002685553,0.0003531091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4087032,0.00002611428,0.5883548,0.00002150242,0.0008536822,0.0004283282,0.000005095954,0.000486158,0.001121059],"genre_scores_gemma":[0.9771338,0.000006471024,0.02257188,0.00002905525,0.00005522276,0.0001090584,4.255005e-7,0.0000334213,0.0000607255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5684305,"threshold_uncertainty_score":0.9999708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206198439","doi":"10.1109/tbc.2021.3132158","title":"A Joint PAPR Reduction and Digital Predistortion Based on Real-Valued Neural Networks for OFDM Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Predistortion; Orthogonal frequency-division multiplexing; Reduction (mathematics); Linearization; Computer science; Bit error rate; Electronic engineering; Transmitter; Digital Video Broadcasting; Adjacent channel power ratio; Joint (building); Control theory (sociology); Channel (broadcasting); Mathematics; Engineering; Telecommunications; Nonlinear system; Bandwidth (computing); Artificial intelligence; Amplifier","retraction":null,"screen_n_in":null,"score":{"opus":0.02384856568869586,"gpt":0.2274733547489447,"spread":0.2036247890602489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001323373,0.0002439938,0.0002406976,0.0001649175,0.0002778706,0.000177135,0.00004955697,0.0001435759,0.0000114769],"category_scores_gemma":[0.00002441016,0.0002810411,0.0001292902,0.0002779932,0.00004325382,0.0002951364,8.784686e-7,0.0003131278,0.000003841047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518384,"about_ca_system_score_gemma":0.00002757931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001701171,"about_ca_topic_score_gemma":0.000002882796,"domain_scores_codex":[0.9986341,0.0000444527,0.0004137428,0.0003759743,0.0002116319,0.0003201113],"domain_scores_gemma":[0.9993298,0.0001040168,0.00007519013,0.0002600295,0.0001069218,0.0001240108],"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":[0.00005537522,0.00005669531,0.000004411984,0.0001249927,0.00003878012,0.000004421729,0.00008240857,0.9702321,0.006172801,0.00001267344,0.000256782,0.02295856],"study_design_scores_gemma":[0.0006311689,0.0001298534,0.00006383834,0.0001846358,0.00005526167,0.0001318396,0.0002329445,0.9912063,0.006814551,0.000007751822,0.0002879845,0.0002538297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09866445,0.0001180797,0.8944001,0.00007059315,0.004685059,0.000460001,0.00007604525,0.0006589157,0.0008667936],"genre_scores_gemma":[0.9981141,0.00002751503,0.0008215432,0.00001383926,0.0004306018,0.0001981755,0.00003007832,0.0000752077,0.0002889137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8994497,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131745302","doi":"10.1109/tbc.2008.2007455","title":"Internet Multicasting of IPTV With Essentially-Zero Delay Jitter","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Computer network; Multicast; Computer science; Jitter; IPTV; Router; Optical IP Switching; Network packet; End-to-end delay; Real-time computing; Internet Protocol; The Internet; Telecommunications; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.0224588079182566,"gpt":0.2345249024698196,"spread":0.212066094551563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368919,0.0001971677,0.0002469126,0.0001928693,0.0001509179,0.0001217483,0.0003802017,0.000077499,0.00002976704],"category_scores_gemma":[0.000007195174,0.0001670873,0.0001126091,0.0004097517,0.0000376888,0.0003895813,0.000002628949,0.0002839018,0.00002159366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004260821,"about_ca_system_score_gemma":0.00003029956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005400791,"about_ca_topic_score_gemma":0.00002096303,"domain_scores_codex":[0.998486,0.00007744133,0.0004421338,0.0003910995,0.0002841236,0.0003192204],"domain_scores_gemma":[0.9990401,0.0001600009,0.0001873408,0.0003679839,0.0001588783,0.00008565211],"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":[0.0002895537,0.0008858599,0.0001783146,0.0001170191,0.0002804309,0.0001795751,0.006693978,0.4165464,0.03307124,0.003876246,0.0004493068,0.5374321],"study_design_scores_gemma":[0.001101944,0.0009573893,0.0001767277,0.0007523273,0.00003767393,0.0005966746,0.0001010207,0.9313192,0.06400356,0.0001342273,0.0003637956,0.0004554545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06140736,0.00001312269,0.93526,0.0001142356,0.0007094275,0.0001424501,0.000001377961,0.0001618064,0.00219024],"genre_scores_gemma":[0.9780113,0.000001149869,0.02106206,0.0002928179,0.00007586578,0.000008596183,3.776434e-7,0.00001367546,0.0005341594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9166039,"threshold_uncertainty_score":0.6813624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2761365629","doi":"10.1109/tbc.2017.2755264","title":"Efficient Transmission of Multiple Broadcasting Services Using LDM and SHVC","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Broadcasting (networking); High-definition television; Robustness (evolution); Multiplexing; Digital Video Broadcasting; Real-time computing; Computer hardware; Computer network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02981594973583778,"gpt":0.2550204341035098,"spread":0.225204484367672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002118537,0.0002714255,0.0003087923,0.0002444861,0.001115249,0.0001254521,0.0005015434,0.0001653291,0.00001476235],"category_scores_gemma":[0.00002675299,0.0002750673,0.0000972027,0.0001612165,0.0001865186,0.0001618713,0.00001224391,0.0004128008,0.000003398291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005294634,"about_ca_system_score_gemma":0.00001606455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002188858,"about_ca_topic_score_gemma":0.00002904187,"domain_scores_codex":[0.9987027,0.00002728778,0.0004431838,0.000283219,0.0001892029,0.0003543846],"domain_scores_gemma":[0.9986496,0.0002222207,0.0001857433,0.00078589,0.00007348314,0.00008305575],"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":[0.00001622236,0.00006714414,0.0003373874,0.0002753881,0.00004068203,0.00000294886,0.0004680385,0.5384613,0.1054321,0.000006103344,0.000001462887,0.3548913],"study_design_scores_gemma":[0.0004808744,0.00004693132,0.0009146437,0.0006685791,0.00004861516,0.00003787783,0.0003659354,0.9163655,0.08066136,0.00001953595,0.0001227095,0.0002674194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7043241,0.0003287261,0.2941684,0.0000272022,0.000188458,0.0001513006,0.00001965821,0.0004519705,0.0003402742],"genre_scores_gemma":[0.9559826,0.0001119788,0.04379614,0.000005003566,0.00002415692,0.00001243645,0.000001027792,0.00005167334,0.00001502437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3779043,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131076576","doi":"10.1109/tbc.2010.2046979","title":"Performance Evaluation of TV Over Broadband Wireless Access Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"IPTV; Computer network; Computer science; Video quality; Last mile (transportation); Wireless broadband; Access network; Broadband; Wireless network; Broadband networks; Telecommunications; Telecommunications link; Wireless; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03318519422134151,"gpt":0.2772726644426888,"spread":0.2440874702213473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004702625,0.0001972794,0.0002005291,0.0002436705,0.0001853296,0.00005913904,0.0004865899,0.0001958067,0.0001502599],"category_scores_gemma":[0.00002134886,0.00020377,0.00007650312,0.0005421547,0.0001051288,0.0003595517,0.000005644338,0.0007645549,0.000006703483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005499553,"about_ca_system_score_gemma":0.00003171765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003343787,"about_ca_topic_score_gemma":0.000070305,"domain_scores_codex":[0.9988095,0.00003307459,0.000370143,0.0001939725,0.0003134693,0.000279858],"domain_scores_gemma":[0.998917,0.0001591821,0.00009329408,0.0006081267,0.0001770059,0.00004533684],"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":[0.000005972278,0.00004064126,0.0004197733,0.00002447133,0.00002495802,1.63425e-7,0.00004704898,0.5140064,0.01269961,0.000006289303,0.00004798437,0.4726767],"study_design_scores_gemma":[0.0003932332,0.00003418263,0.004377383,0.00009924502,0.00006148661,0.00001123124,0.00003122099,0.9438082,0.05083224,0.00001675158,0.0001261595,0.0002086376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883181,0.00006486873,0.107985,0.00001258222,0.0007613323,0.00021289,0.000008632855,0.0006011549,0.002035499],"genre_scores_gemma":[0.997775,0.0001288263,0.00189176,0.000007294215,0.00005116064,0.00007434931,0.000003290574,0.00004186924,0.00002649416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.472468,"threshold_uncertainty_score":0.8309501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991946596","doi":"10.1109/tbc.2014.2310067","title":"FOBTV: Worldwide Efforts in Developing Next-Generation Broadcasting System","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"National Key Research and Development Program of China; National High-tech Research and Development Program; Higher Education Discipline Innovation Project; Shanghai Jiao Tong University; National Natural Science Foundation of China","keywords":"Standardization; Broadcasting (networking); Telecommunications; Broadcast engineering; Computer science; Broadcast law; Radio broadcasting; Engineering management; Engineering; Commercial broadcasting; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.04383036409553487,"gpt":0.2328863487507532,"spread":0.1890559846552184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005408594,0.0003778917,0.0003750957,0.0006842937,0.000461035,0.0001747934,0.0004107845,0.0002155455,0.00001237751],"category_scores_gemma":[0.0000630475,0.0004185369,0.0001054361,0.001028819,0.00005634947,0.0004004168,0.000007625664,0.000683161,0.00005718605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004797333,"about_ca_system_score_gemma":0.00003337821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009248072,"about_ca_topic_score_gemma":0.0003067855,"domain_scores_codex":[0.9978917,0.0000963554,0.000746605,0.0004098851,0.000239968,0.0006155294],"domain_scores_gemma":[0.9987407,0.0003707614,0.0001107521,0.0006292425,0.00007170063,0.00007680445],"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":[0.000006773985,0.00003722497,0.0001108677,0.0001853994,0.00002969991,0.000007050055,0.0002689339,0.5282598,0.01747772,0.0005638493,0.00007799424,0.4529747],"study_design_scores_gemma":[0.0004978036,0.00005246096,0.0002364857,0.0008504233,0.00002470535,0.00007979934,0.0003939598,0.9549505,0.04032993,0.00004376942,0.001951467,0.0005887079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3440018,0.0001397306,0.650529,0.0001157784,0.0007592812,0.0002544074,0.000004822888,0.002237593,0.001957578],"genre_scores_gemma":[0.9525429,0.00005821884,0.04694144,0.00005010899,0.0001225557,0.0001330119,0.000007092439,0.00008798557,0.00005666292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6085411,"threshold_uncertainty_score":0.9998267,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2940796154","doi":"10.1109/tbc.2019.2909190","title":"A Hybrid PAPR Reduction Scheme for OFDM Systems Using Perfect Sequences","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Orthogonal frequency-division multiplexing; Reduction (mathematics); Quadrature amplitude modulation; Phase-shift keying; QAM; Algorithm; Mathematics; Modulation (music); Computational complexity theory; Multiplexing; Electronic engineering; Topology (electrical circuits); Computer science; Bit error rate; Channel (broadcasting); Telecommunications; Decoding methods; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03131996874426037,"gpt":0.2538892868095304,"spread":0.2225693180652701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002384984,0.0002678352,0.0002789986,0.0002678297,0.0002700755,0.0001005251,0.0001348674,0.0001020329,0.00007028528],"category_scores_gemma":[0.000009839148,0.000299503,0.0001637202,0.0002640933,0.00004223661,0.0004087394,8.186877e-7,0.0003197288,0.00009864578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378456,"about_ca_system_score_gemma":0.00004657008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006370123,"about_ca_topic_score_gemma":9.12663e-7,"domain_scores_codex":[0.9985393,0.00004013624,0.0003993528,0.0003642841,0.0002366772,0.0004202503],"domain_scores_gemma":[0.9993274,0.0001088366,0.0000810451,0.0002939048,0.00009506518,0.00009376738],"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":[0.00001798351,0.00001862643,0.000008168123,0.0002131555,0.00006319761,0.000001067596,0.0001063093,0.725399,0.270003,0.00001316611,0.00007182395,0.004084511],"study_design_scores_gemma":[0.000518786,0.0001017252,0.00000567158,0.0003222773,0.00005720661,0.0004325115,0.0005070468,0.8400131,0.1563222,0.00002051315,0.001296007,0.0004029384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6052407,0.0001541906,0.3872014,0.00001253461,0.005597255,0.0005706141,0.00003485644,0.0005471917,0.0006413228],"genre_scores_gemma":[0.9924324,0.00002180862,0.006362047,0.000005862272,0.0003724881,0.0001269875,0.000003778046,0.00008860221,0.0005859831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871918,"threshold_uncertainty_score":0.9999457,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2465679226","doi":"10.1109/tbc.2016.2576600","title":"An Encoder Complexity Reduction Scheme for Quality/Fidelity Scalable HEVC","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Telus (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Encoder; Scalability; Coding (social sciences); Fidelity; Scalable Video Coding; Computer engineering; Real-time computing; High fidelity; Random access; Computational complexity theory; Algorithm; Computer network; Telecommunications; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1205057113664843,"gpt":0.3455440324738623,"spread":0.225038321107378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006034678,0.000204028,0.0002316639,0.0001842871,0.0007100095,0.0001477197,0.0007677808,0.000135204,0.00002734621],"category_scores_gemma":[0.00005767755,0.0001569746,0.0001350796,0.0003602906,0.0001418152,0.0009238794,0.000007802093,0.0001990906,0.00003337169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065281,"about_ca_system_score_gemma":0.00006165911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007225836,"about_ca_topic_score_gemma":0.00001195486,"domain_scores_codex":[0.9980723,0.0001217497,0.0004262147,0.0006713523,0.0002907341,0.0004177086],"domain_scores_gemma":[0.9983451,0.0002632572,0.0001561244,0.0009160588,0.0002062313,0.0001132609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005369387,0.0002607815,0.00002503278,0.00002966574,0.00002172897,8.404234e-7,0.000172402,0.001386911,0.2515004,0.005054297,0.0003094321,0.7411848],"study_design_scores_gemma":[0.001489062,0.0005297771,0.0003538259,0.0003313952,0.00001712398,0.00005115971,0.0002893397,0.1402886,0.8267435,0.0275745,0.001594447,0.0007371829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0639689,0.00001998794,0.9320751,0.001397703,0.0007638494,0.0002209458,0.00001966374,0.001373517,0.0001603741],"genre_scores_gemma":[0.835885,0.000009495937,0.1635391,0.00006566981,0.00005936069,0.0000897191,6.267431e-7,0.00001370883,0.0003373052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7719161,"threshold_uncertainty_score":0.6401238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024765163","doi":"10.1109/tbc.2012.2191690","title":"An Accurate Predistorter Based on a Feedforward Hammerstein Structure","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Intermodulation; Predistortion; Nonlinear distortion; Adjacent channel power ratio; Amplifier; Distortion (music); Feed forward; Control theory (sociology); Wideband; Computer science; Electronic engineering; SIGNAL (programming language); Nonlinear system; Algorithm; Telecommunications; Engineering; Bandwidth (computing); Control engineering; Physics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01825368084966645,"gpt":0.2451005273470263,"spread":0.2268468464973599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000104674,0.0003136861,0.0002031026,0.0002067196,0.0001899116,0.00004708335,0.0001628837,0.0001372049,0.0002670481],"category_scores_gemma":[0.00000538397,0.0003237676,0.0000925623,0.0002614097,0.00003204388,0.0005404322,4.043724e-7,0.0004976626,0.00006985636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334608,"about_ca_system_score_gemma":0.00001694695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006883091,"about_ca_topic_score_gemma":0.000007667241,"domain_scores_codex":[0.9986216,0.00004863407,0.0002593702,0.000256986,0.0002470326,0.0005663321],"domain_scores_gemma":[0.9991069,0.0001250065,0.00004261714,0.0004397609,0.00003005833,0.0002555977],"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":[0.0000481191,0.00007002999,0.00004062501,0.00003601069,0.00002981145,0.000003075177,0.0004461714,0.9486901,0.02130209,0.00000631613,0.0001132405,0.02921439],"study_design_scores_gemma":[0.00100526,0.0002754875,0.0005018645,0.0001401917,0.00009528351,0.00002810025,0.0002251077,0.8671341,0.1270076,0.00002936865,0.0026993,0.0008583107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03975348,0.00003199225,0.9562857,0.00001434454,0.001631674,0.000223547,0.00009954271,0.0006643668,0.001295357],"genre_scores_gemma":[0.9909469,0.000001808068,0.008477191,0.0001316183,0.0002154794,0.0000334511,0.000009101712,0.0001048324,0.00007959693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511935,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312728264","doi":"10.1109/tbc.2022.3222988","title":"Evaluation of ATSC 3.0 and 3GPP Rel-17 5G Broadcasting Systems for Mobile Handheld Applications","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Broadcasting (networking); Mobile device; Physical layer; Computer network; Operating expense; Software deployment; Multimedia Broadcast Multicast Service; Telecommunications; Wireless; Operating system; Multicast","retraction":null,"screen_n_in":null,"score":{"opus":0.04255575065010538,"gpt":0.2715083195440257,"spread":0.2289525688939203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001365983,0.0002279144,0.0002891237,0.0003597171,0.0009492774,0.00005530541,0.0003298412,0.00009859756,0.00003209211],"category_scores_gemma":[0.00004939563,0.0002666843,0.0001016007,0.0005979227,0.00008605226,0.0001392017,0.00001061788,0.0004472552,0.000002717925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002462823,"about_ca_system_score_gemma":0.00006040003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004950424,"about_ca_topic_score_gemma":0.00001201404,"domain_scores_codex":[0.9981975,0.0001183413,0.0005623389,0.0003227198,0.0004795927,0.0003194858],"domain_scores_gemma":[0.998363,0.000555657,0.0001737961,0.0005731639,0.0002799419,0.00005447644],"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":[0.000009409399,0.00007615141,0.00001106676,0.0001070067,0.00006304837,1.77426e-7,0.0002201489,0.7266428,0.005336975,0.00005206884,0.0001568511,0.2673243],"study_design_scores_gemma":[0.0009048365,0.0002716065,0.00003239327,0.0001124201,0.0002794804,0.00006600413,0.002471732,0.977015,0.008333718,0.0002049941,0.009944785,0.0003629873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1567293,0.005353023,0.8312225,0.00004724228,0.0005560694,0.002760914,0.0003558233,0.001750864,0.001224306],"genre_scores_gemma":[0.9879448,0.0001752926,0.005780785,0.000007200881,0.00004246263,0.005868493,0.00001473007,0.00007853033,0.0000877278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8312154,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153451598","doi":"10.1109/tbc.2014.2321681","title":"A Low-Complexity Robust OFDM Receiver for Fast Fading Channels","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Fading; Subcarrier; Computer science; Electronic engineering; Channel (broadcasting); Multipath propagation; Digital Video Broadcasting; Estimator; Telecommunications; Engineering; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.04761445059737596,"gpt":0.261706703966451,"spread":0.2140922533690751,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000198369,0.000227878,0.0002362083,0.0001892976,0.0003468104,0.00004550385,0.0002785956,0.0001063029,0.0000399969],"category_scores_gemma":[0.00002292,0.0002667605,0.0001173283,0.000247784,0.00006381579,0.0002597541,0.000002104375,0.0003451704,0.00002352487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335229,"about_ca_system_score_gemma":0.000007592418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001010553,"about_ca_topic_score_gemma":0.0000172834,"domain_scores_codex":[0.9989237,0.00004073288,0.0003152787,0.0002434927,0.0001288633,0.000347911],"domain_scores_gemma":[0.9989926,0.0003215614,0.00006164258,0.0004563288,0.00008344322,0.00008445746],"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":[0.00001140339,0.00003498615,0.00000105248,0.00009159128,0.00001627556,2.048005e-7,0.0002626621,0.8013753,0.01174958,0.0001301686,0.00007048737,0.1862563],"study_design_scores_gemma":[0.0003754864,0.0000623583,0.00001077816,0.0002093225,0.00001674739,0.000006996396,0.00007125532,0.7616383,0.2352398,0.000576761,0.00145907,0.000333135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01077726,0.00001992755,0.9851893,0.00005146008,0.0004581717,0.0003597039,0.00002717281,0.001542456,0.001574617],"genre_scores_gemma":[0.9084476,0.00003667542,0.09092934,0.00004725401,0.00009194029,0.0002193933,0.000005664687,0.00008120318,0.0001409203],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8976703,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058963238","doi":"10.1109/tbc.2014.2364532","title":"Variable LLR Scaling in Min-Sum Decoding for Irregular LDPC Codes","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Communications Research Centre Canada; Institut National de la Recherche Scientifique","funders":"Higher Education Discipline Innovation Project; Shanghai Key Laboratory of Digital Media Processing and Transmission; National Natural Science Foundation of China","keywords":"Low-density parity-check code; Scaling; Decoding methods; Algorithm; Mathematics; Variable (mathematics); Node (physics); Bit error rate; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02463509998304327,"gpt":0.2672479783556441,"spread":0.2426128783726008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001305004,0.0002477889,0.000300747,0.0004134761,0.0004263312,0.0001937847,0.0006710152,0.0001369647,0.000008650565],"category_scores_gemma":[0.000137435,0.0002786339,0.0001214771,0.0007208137,0.00003638824,0.0005013199,0.000007942638,0.0003660235,0.00001157496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580749,"about_ca_system_score_gemma":0.00005976548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001422995,"about_ca_topic_score_gemma":0.00007957921,"domain_scores_codex":[0.9979591,0.0001255517,0.0004601104,0.0006346879,0.0002502055,0.0005702861],"domain_scores_gemma":[0.9979584,0.001152352,0.0001402966,0.0005543673,0.0001133125,0.00008124516],"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":[0.00004259713,0.0002676313,0.0001649065,0.0001627967,0.00003281415,0.000006852478,0.001594026,0.1076957,0.04898869,0.00611216,0.00013243,0.8347993],"study_design_scores_gemma":[0.0004337596,0.0001167705,0.00003127666,0.0003792194,0.00001461129,0.00003007763,0.00005589523,0.8903047,0.1044528,0.002962539,0.0008751251,0.0003431852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01605573,0.0000305428,0.9805384,0.0001357284,0.0009924984,0.0003477731,0.000003721207,0.0008362034,0.001059358],"genre_scores_gemma":[0.5791652,0.000001853324,0.4204624,0.0001100102,0.00004236936,0.00008097046,5.290411e-7,0.00002436593,0.0001122987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8344562,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1572887231","doi":"10.1109/tbc.2015.2432463","title":"Performance Study of Layered Division Multiplexing Based on SDR Platform","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"Ministerio de Ciencia e Innovación; European Regional Development Fund; Euskal Herriko Unibertsitatea; Ministerio de Economía y Competitividad; Eusko Jaurlaritza","keywords":"Flexibility (engineering); Multiplexing; Broadcasting (networking); Computer science; Orthogonal frequency-division multiplexing; Frequency-division multiplexing; Channel (broadcasting); Division (mathematics); Cloud computing; Telecommunications; Electronic engineering; Computer network; Engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.0705464669669233,"gpt":0.2576146856264903,"spread":0.187068218659567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002588108,0.0002210031,0.0002366591,0.0003726967,0.0002177691,0.00002874665,0.0003406883,0.0001037197,0.00001123222],"category_scores_gemma":[0.00004010489,0.000214373,0.00006046481,0.0005101461,0.00004062388,0.0001762035,0.000004533852,0.0004517875,0.00001975167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196397,"about_ca_system_score_gemma":0.00002275191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004466538,"about_ca_topic_score_gemma":0.00002897988,"domain_scores_codex":[0.9988022,0.00002694434,0.0003975102,0.0002065431,0.0002951913,0.0002715851],"domain_scores_gemma":[0.9988924,0.0002409664,0.00007926702,0.0006303853,0.00008697446,0.00007005526],"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":[0.0000320171,0.0003419216,0.0004793011,0.00002913474,0.00001929166,0.00000138625,0.0005421045,0.865014,0.001299067,0.000001048013,0.00002003296,0.1322207],"study_design_scores_gemma":[0.001246734,0.0008549417,0.001035693,0.0001998575,0.00001280595,0.000003166772,0.001584012,0.9730943,0.0216617,0.000004791196,0.00007578631,0.0002262085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244547,0.00001715958,0.1729575,0.00001184002,0.0002656692,0.0002602722,0.00001122879,0.0008990229,0.001122585],"genre_scores_gemma":[0.9932394,0.000007862257,0.006612489,0.000007716721,0.0000143509,0.0000516559,0.000002373322,0.0000447736,0.00001934646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687847,"threshold_uncertainty_score":0.8741876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2489997503","doi":"10.1109/tbc.2016.2590824","title":"Multiple Service Configurations Based on Layered Division Multiplexing","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"Ministry of Science, ICT and Future Planning","keywords":"Multiplexing; Computer science; Division (mathematics); Telecommunications; Time-division multiplexing; Service (business); Frequency-division multiplexing; Electronic engineering; Orthogonal frequency-division multiplexing; Computer network; Electrical engineering; Engineering; Business; Mathematics; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.02880485097279815,"gpt":0.2288523350491859,"spread":0.2000474840763877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001469801,0.0002869699,0.0002063129,0.0003422466,0.0005009471,0.0000640613,0.0003717523,0.0001661602,0.0001186486],"category_scores_gemma":[0.00009395647,0.0002324213,0.0001039791,0.0005967708,0.00005546119,0.0002084824,0.000003351367,0.0003596103,0.0001989198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485186,"about_ca_system_score_gemma":0.00002325675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003453684,"about_ca_topic_score_gemma":0.00009909004,"domain_scores_codex":[0.9986501,0.00004975052,0.0003769487,0.0003081993,0.0002184024,0.0003966446],"domain_scores_gemma":[0.9978103,0.001178853,0.00006563865,0.0007546828,0.0001068885,0.0000836261],"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":[0.00001686744,0.00009311976,0.00005640151,0.00002622918,0.00002053616,0.000001978742,0.00006821125,0.6768195,0.1040514,0.00001914373,0.0000848644,0.2187417],"study_design_scores_gemma":[0.001125193,0.0001010066,0.0005992732,0.0004876483,0.00001142429,0.000005269921,0.0001068574,0.8585818,0.136694,0.00003403472,0.001861002,0.0003924682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06796471,0.00002246816,0.9264421,0.0007440849,0.0003829202,0.0002553912,0.000118692,0.002632332,0.001437338],"genre_scores_gemma":[0.9859778,0.00002176789,0.01359143,0.0001184583,0.00002953074,0.0001103478,0.000006383757,0.00006888564,0.00007534453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9180132,"threshold_uncertainty_score":0.9477867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991263632","doi":"10.1109/tbc.2013.2291359","title":"LDPC-RS Product Codes for Digital Terrestrial Broadcasting Transmission System","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Low-density parity-check code; Decoding methods; Computer science; Concatenated error correction code; Concatenation (mathematics); Algorithm; Bit error rate; Turbo code; List decoding; Serial concatenated convolutional codes; Electronic engineering; Mathematics; Block code; Arithmetic; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02421188706447014,"gpt":0.258139219079174,"spread":0.2339273320147038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008829604,0.0004275317,0.0004390064,0.0003545883,0.0009057475,0.0005668812,0.0009163969,0.0001446072,0.000003122962],"category_scores_gemma":[0.0001595977,0.0004209375,0.0002984235,0.0006044083,0.00006540014,0.0009851892,0.000008338505,0.0004702588,0.00002266017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917114,"about_ca_system_score_gemma":0.00009866589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004969698,"about_ca_topic_score_gemma":0.000008136224,"domain_scores_codex":[0.9969463,0.000148159,0.000697492,0.001024673,0.0004860336,0.0006972832],"domain_scores_gemma":[0.9975932,0.001004219,0.0002778806,0.0007736966,0.0001461284,0.0002048311],"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":[0.0001168098,0.0001422697,0.00002006921,0.0001941809,0.00003316092,0.000005522908,0.0007141252,0.009870794,0.01046402,0.0002463282,0.0001656109,0.9780271],"study_design_scores_gemma":[0.001198523,0.0008262327,0.00001543256,0.001131545,0.00005402525,0.000218247,0.0001489213,0.8539352,0.1374602,0.0002256835,0.004002979,0.0007829564],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01321461,0.00002769734,0.979458,0.0002178508,0.001950072,0.0008375527,0.00001499481,0.002859084,0.001420148],"genre_scores_gemma":[0.8892238,0.000001899705,0.1099619,0.00004596541,0.0003686414,0.000150673,0.000003161469,0.00006265878,0.0001812684],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9772441,"threshold_uncertainty_score":0.9998242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168374603","doi":"10.1109/11.892158","title":"OFDM system channel estimation using time-domain training sequence for mobile reception of digital terrestrial broadcasting","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Channel (broadcasting); Frequency domain; Fading; Time domain; Computer science; Compensation (psychology); Electronic engineering; Sequence (biology); Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05225609536388511,"gpt":0.2844257116968133,"spread":0.2321696163329282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000276269,0.0002728159,0.0003542339,0.000237651,0.0002968245,0.00006586338,0.0002223098,0.0001479183,0.00003451419],"category_scores_gemma":[0.00001977265,0.0003306741,0.0001473675,0.0003825728,0.00007281962,0.0007068245,0.000001806096,0.0002677578,0.0000141107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188401,"about_ca_system_score_gemma":0.00003821921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001436352,"about_ca_topic_score_gemma":0.000001466253,"domain_scores_codex":[0.9984012,0.00005209888,0.0007069759,0.0002760632,0.0002151186,0.0003485827],"domain_scores_gemma":[0.99901,0.0003242484,0.0001731665,0.0003549575,0.0000636569,0.00007391733],"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":[0.00003855807,0.00002146107,3.427182e-7,0.00009554489,0.00001832273,5.383404e-7,0.0006282305,0.6672114,0.04029974,0.000003172226,0.00000267232,0.2916801],"study_design_scores_gemma":[0.0004904114,0.0001164141,8.284582e-7,0.000747382,0.00002982078,0.00004439002,0.0005241415,0.947736,0.04987494,0.00008618338,0.00007085576,0.0002786177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2092161,0.00003040608,0.7885224,0.00000423293,0.0001673775,0.0006240722,0.0001086703,0.0009373603,0.0003893795],"genre_scores_gemma":[0.9029457,0.00001494842,0.09659973,0.000003069538,0.00007725487,0.0002119403,0.00002685989,0.00008534771,0.00003516922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6937295,"threshold_uncertainty_score":0.9999145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211697047","doi":"10.1109/tbc.2021.3126275","title":"SRNMSM: A Deep Light-Weight Image Super Resolution Network Using Multi-Scale Spatial and Morphological Feature Generating Residual Blocks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residual; Artificial intelligence; Computer science; Block (permutation group theory); Convolutional neural network; Pattern recognition (psychology); Feature (linguistics); Fuse (electrical); Benchmark (surveying); Image resolution; Computer vision; Algorithm; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02469682393135027,"gpt":0.2713106760829818,"spread":0.2466138521516315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003082088,0.0003180113,0.0002981784,0.0001177615,0.001155302,0.0003999459,0.0003200523,0.0002274259,0.00001798306],"category_scores_gemma":[0.0000573846,0.0003181882,0.00008971779,0.0006314323,0.0001094342,0.0008380003,0.0000346904,0.0007630993,0.00000326404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120623,"about_ca_system_score_gemma":0.00009984359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003706374,"about_ca_topic_score_gemma":0.00008954167,"domain_scores_codex":[0.9976066,0.0002041384,0.0003678933,0.000894929,0.0003269161,0.0005995673],"domain_scores_gemma":[0.9988484,0.0001513202,0.0001385753,0.0004692403,0.0002495741,0.0001428403],"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":[0.00003066679,0.0001816669,0.0001055114,0.00003488446,0.00002634629,0.0003886138,0.0007198523,0.02608862,0.8947738,0.00001292525,0.0001279703,0.07750918],"study_design_scores_gemma":[0.0003894543,0.00006030121,0.00006450732,0.0001632406,0.00002941804,0.0008768521,0.00004384878,0.8264147,0.1713584,0.0001592726,0.0001016886,0.0003383655],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02096639,0.0006332349,0.9766873,0.000468788,0.0003975625,0.0001620111,0.000005476301,0.0006097503,0.00006949012],"genre_scores_gemma":[0.1917264,0.00003047597,0.8075882,0.0002129531,0.0002740823,0.00002075437,0.000002243169,0.00002959821,0.000115251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.800326,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}