{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":11,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":11,"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","author_layer_release":"2026-06-26"},"query_hash":"a50c1f98dc1e","filters":{"venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers"}},"results":[{"id":"W3146665297","doi":"10.1109/acssc.2007.4487565","title":"Relay-Assisted Free-Space Optical Communication","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Optical Wireless Communication Technologies","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 Waterloo","funders":"","keywords":"Fading; Relay; Transmission (telecommunications); Computer science; Outage probability; Maximal-ratio combining; Path loss; Channel (broadcasting); Topology (electrical circuits); Diversity gain; Monte Carlo method; Telecommunications; Computer network; Electronic engineering; Wireless; Mathematics; Statistics; Physics; Engineering; Electrical engineering","authors":[{"name":"Majid Safari","is_ca":true},{"name":"Murat Uysal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05198334806375055,"gpt":0.26803605197615,"spread":0.2160527039123995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277382,0.000401963,0.0003287716,0.0002054599,0.0002391103,0.0003252618,0.0006983914,0.0004725665,0.001192239],"category_scores_gemma":[0.0007456736,0.0001065105,0.0002824716,0.0001996404,0.0002898813,0.0009106601,0.0004524536,0.0002233118,0.0003371396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633372,"about_ca_system_score_gemma":0.0002226805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006042084,"about_ca_topic_score_gemma":0.001086437,"domain_scores_codex":[0.9997817,0.0000682726,0.000006906681,0.00002926363,0.00008386709,0.00003001831],"domain_scores_gemma":[0.9995099,0.0002187185,0.00007275243,0.0001016024,0.00008275273,0.00001408584],"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":[0.0005523837,0.0001289712,0.001998112,0.0003941465,0.0002146958,0.001133961,0.0004691591,0.5810883,0.207656,0.07494192,0.003065899,0.1283565],"study_design_scores_gemma":[0.00003427608,0.0003497614,0.0005397678,0.0000143096,0.00005483118,0.0007076602,0.00004261852,0.9209544,0.0598116,0.01001712,0.007430509,0.00004307461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2732002,0.001874894,0.7101873,0.0002903373,0.0001364139,0.0000679196,0.0001566155,0.0009329,0.01315354],"genre_scores_gemma":[0.9555731,0.0004212431,0.04103346,0.00005053219,0.00002876613,0.00001595893,0.00004063997,0.00001645385,0.002819771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001192239,"threshold_uncertainty_score":0.003988445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2540871663","doi":"10.1109/acssc.2007.4487200","title":"Locating Brain Tumors from MR Imagery Using Symmetry","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Abnormality; Search engine indexing; Segmentation; Artificial intelligence; Bounding overwatch; Magnetic resonance imaging; Image segmentation; Computer vision; Minimum bounding box; Brain tumor; Symmetry (geometry); Exploit; Image (mathematics); Pattern recognition (psychology); Radiology; Mathematics; Medicine","authors":[{"name":"Nilanjan Ray","is_ca":true},{"name":"Baidya Nath Saha","is_ca":true},{"name":"Matthew Brown","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07365420974368848,"gpt":0.3199710167262398,"spread":0.2463168069825514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007912612,0.0007243704,0.0008220369,0.002658675,0.0003496714,0.001517123,0.0008857526,0.0006557485,0.002226925],"category_scores_gemma":[0.003959621,0.0005310797,0.000717936,0.001143842,0.0007278358,0.001727937,0.001543507,0.0005557926,0.001886896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542325,"about_ca_system_score_gemma":0.0009541666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179198,"about_ca_topic_score_gemma":0.001161595,"domain_scores_codex":[0.9993502,0.0001078529,0.0000539682,0.0001468437,0.0002690734,0.0000719282],"domain_scores_gemma":[0.9989704,0.0003575652,0.0001830936,0.0002184877,0.0002090692,0.00006140651],"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":[0.0004673426,0.00006575954,0.002465948,0.0002622785,0.00004466511,0.0004234758,0.0002830605,0.0195323,0.2482963,0.008238677,0.002851054,0.7170692],"study_design_scores_gemma":[0.00006858148,0.0002768659,0.006895406,0.00006832232,0.00006994334,0.003750839,0.0002337374,0.6488053,0.3116733,0.01608513,0.01196173,0.000110876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04067096,0.0003600843,0.9542432,0.0001671898,0.00003413457,0.0001402942,0.0001354836,0.002546162,0.001702484],"genre_scores_gemma":[0.1642019,0.0005366866,0.8333149,0.00006133354,0.00004778274,0.00009071272,0.0004100205,0.000304826,0.001031759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002658675,"threshold_uncertainty_score":0.007449806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2541535790","doi":"10.1109/acssc.2007.4487325","title":"Distributed Transmit Power Allocation for Relay-Assisted Cognitive-Radio Systems","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Cognitive Radio Networks and Spectrum Sensing","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":"University of British Columbia","funders":"","keywords":"Cognitive radio; Relay; Transmitter power output; Computer science; Narrowband; Computer network; Interference (communication); Transmission (telecommunications); Frequency allocation; Power (physics); Telecommunications; Wireless; Transmitter; Channel (broadcasting)","authors":[{"name":"Jan Mietzner","is_ca":true},{"name":"Lutz Lampe","is_ca":true},{"name":"Robert Schober","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05096271448112206,"gpt":0.2781851166548254,"spread":0.2272224021737033,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008953588,0.0007100834,0.0007414168,0.0002671308,0.0002716797,0.0007856787,0.001024949,0.0006351095,0.001047391],"category_scores_gemma":[0.002734951,0.000281634,0.0002569983,0.0004520406,0.0005543595,0.0007172218,0.0006486214,0.0005690148,0.0002704312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514094,"about_ca_system_score_gemma":0.000444858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007410637,"about_ca_topic_score_gemma":0.001001256,"domain_scores_codex":[0.9994335,0.0002339283,0.00002115198,0.00009422318,0.0001524503,0.00006462248],"domain_scores_gemma":[0.9991801,0.0005122531,0.00008908154,0.00007479345,0.0001177196,0.00002602721],"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":[0.0001278062,0.0000734589,0.0002437288,0.00009319434,0.00004947522,0.0001173175,0.00007408053,0.9267834,0.008035091,0.01735379,0.0007822416,0.04626637],"study_design_scores_gemma":[0.00001724788,0.00003600031,0.0000518763,0.00000287606,0.000008461485,0.0000260784,0.000007689428,0.9924746,0.0007118121,0.00642133,0.0002373378,0.000004733625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02488463,0.0004925794,0.9722201,0.0001190855,0.00003697461,0.00002337221,0.0000161052,0.00009061291,0.002116553],"genre_scores_gemma":[0.9518347,0.000341539,0.04665074,0.00006017343,0.00004835246,0.000047555,0.00001559025,0.00001636076,0.0009849243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001047391,"threshold_uncertainty_score":0.004735231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2544784719","doi":"10.1109/acssc.2007.4487284","title":"Moment-Based SNR Estimation for SIMO Wireless Communication Systems Using Arbitrary QAM","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada); Institut National de la Recherche Scientifique","funders":"","keywords":"Additive white Gaussian noise; Quadrature amplitude modulation; Algorithm; Signal-to-noise ratio (imaging); Computer science; QAM; Moment (physics); A priori and a posteriori; Wireless; Estimation theory; Orthogonality; Mathematics; Bit error rate; White noise; Telecommunications; Physics; Decoding methods","authors":[{"name":"Alex Stéphenne","is_ca":true},{"name":"Faouzi Bellili","is_ca":true},{"name":"Sofiène Affes","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0694946300213079,"gpt":0.3065977378499626,"spread":0.2371031078286547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033317,0.0008161546,0.000757596,0.0008222751,0.0002980323,0.0006546464,0.0005977731,0.0005273857,0.0008501363],"category_scores_gemma":[0.004973101,0.0004402209,0.0004877406,0.0007287928,0.0006568187,0.001383063,0.0008237267,0.0007375983,0.0004312211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004686561,"about_ca_system_score_gemma":0.0005330977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006040858,"about_ca_topic_score_gemma":0.0009999493,"domain_scores_codex":[0.9992694,0.000316101,0.00003281548,0.0000781862,0.000264506,0.00003903392],"domain_scores_gemma":[0.9984211,0.001023339,0.0001760922,0.0001710665,0.0001750563,0.0000332571],"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":[0.0005759867,0.00006658666,0.002323725,0.0002560751,0.0001289641,0.0002712831,0.0002989675,0.5030043,0.03880797,0.06208953,0.002220998,0.3899556],"study_design_scores_gemma":[0.000008525662,0.00004158765,0.0003352948,0.000009497667,0.00001207462,0.0001280505,0.000009026432,0.9868938,0.00613882,0.005280227,0.001120509,0.00002261172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005580189,0.0002121509,0.9934539,0.00004190044,0.00002011301,0.000009504227,0.00001570327,0.0001887359,0.0004778641],"genre_scores_gemma":[0.324222,0.0007391325,0.672634,0.00008231088,0.0001465494,0.00007176161,0.0001338307,0.0001106556,0.001859852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001033317,"threshold_uncertainty_score":0.005464792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2545488256","doi":"10.1109/acssc.2007.4487263","title":"Improving Robustness of Image Quality Measurement with Degradation Classification and Machine Learning","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Robustness (evolution); Computer science; Support vector machine; Machine learning; Artificial intelligence; Image quality; Pattern recognition (psychology); Benchmark (surveying); Data mining; Image (mathematics)","authors":[{"name":"Tiago H. Falk","is_ca":true},{"name":"Yingchun Guo","is_ca":true},{"name":"Wai-Yip Chan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1513746663428755,"gpt":0.3179851287470728,"spread":0.1666104624041973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003336988,0.00107452,0.001025659,0.001872383,0.0003146557,0.001362837,0.001135387,0.001271528,0.0007619696],"category_scores_gemma":[0.01399793,0.0003162695,0.0005849099,0.001287136,0.0005927625,0.001674489,0.001013,0.001009228,0.0004372089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685163,"about_ca_system_score_gemma":0.0004005026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133435,"about_ca_topic_score_gemma":0.001270295,"domain_scores_codex":[0.9971909,0.000585678,0.000263146,0.0005314421,0.001273871,0.000154969],"domain_scores_gemma":[0.9931955,0.002074015,0.001280075,0.001315118,0.001990158,0.0001450532],"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":[0.0005769074,0.0003049062,0.01497536,0.0002199971,0.0002546252,0.0001195221,0.0001048629,0.1589024,0.09487339,0.001892151,0.001955462,0.7258203],"study_design_scores_gemma":[0.00001886499,0.0001588288,0.0063106,0.00001625966,0.00003797119,0.0001819512,0.00001990549,0.9166192,0.07466688,0.001092038,0.00084041,0.00003709141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.109976,0.000587845,0.8851297,0.0001891926,0.00008407415,0.00009415453,0.00006339033,0.002619564,0.001256013],"genre_scores_gemma":[0.6594055,0.0002320069,0.3390452,0.0001284914,0.00007957027,0.00005859539,0.0002268868,0.0001309432,0.0006928626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003336988,"threshold_uncertainty_score":0.01764786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2546086929","doi":"10.1109/acssc.2007.4487377","title":"Space-Time Coding versus Repetition Coding for Free-Space Optical Communication","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":6,"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":"Fading; Coding (social sciences); Block code; Computer science; Coding gain; Antenna diversity; Spatial modulation; Free-space optical communication; Time diversity; Transmit diversity; Optical communication; Telecommunications; Algorithm; Electronic engineering; Decoding methods; MIMO; Optics; Physics; Mathematics; Channel (broadcasting); Wireless; Engineering","authors":[{"name":"Majid Safari","is_ca":true},{"name":"Murat Uysal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06194841152002607,"gpt":0.2810679236254598,"spread":0.2191195121054338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120498,0.0004100664,0.0003400499,0.0003404313,0.0003178986,0.0005283686,0.0004802247,0.0006611153,0.001247636],"category_scores_gemma":[0.005181094,0.0001258947,0.0002642469,0.0004539473,0.0008719279,0.001102732,0.0006263279,0.0004673211,0.000139357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742981,"about_ca_system_score_gemma":0.000571557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007726814,"about_ca_topic_score_gemma":0.001260214,"domain_scores_codex":[0.9991969,0.0003559224,0.00001690995,0.00004340857,0.0002583327,0.0001284575],"domain_scores_gemma":[0.992121,0.006593894,0.0004881764,0.0002733089,0.000429275,0.00009426225],"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":[0.0008392686,0.0001211474,0.003221178,0.0004169637,0.00009981394,0.0003814791,0.0004021225,0.6317934,0.06379908,0.2219619,0.0005480153,0.07641555],"study_design_scores_gemma":[0.00004367361,0.0007364445,0.0007981267,0.00004264788,0.00004957485,0.0003197667,0.0001093733,0.9527795,0.01942735,0.02435352,0.001298168,0.00004190528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.673111,0.003872199,0.3107345,0.0007426786,0.00009420545,0.00008031206,0.00005795477,0.0001084782,0.0111987],"genre_scores_gemma":[0.9755146,0.000620548,0.02302171,0.00004211502,0.00004843491,0.00003035671,0.00001568763,0.000008888299,0.0006977671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247636,"threshold_uncertainty_score":0.006372631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2544159747","doi":"10.1109/acssc.2007.4487512","title":"Optimal Beamforming with Mobile Robots","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Mobile robot; Computer science; Beamforming; Robot; Human–computer interaction; Artificial intelligence; Telecommunications","authors":[{"name":"Laura C. Koch","is_ca":true},{"name":"Raviraj Adve","is_ca":true},{"name":"Bruce A. Francis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02756860017434402,"gpt":0.2513101351621163,"spread":0.2237415349877723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005456351,0.0007684217,0.0005629709,0.0003741946,0.0002386373,0.0006558735,0.0004473195,0.0007403201,0.001184585],"category_scores_gemma":[0.002085045,0.0003507994,0.000336634,0.0006322499,0.000827469,0.0009523845,0.0009218498,0.0005468884,0.0005567613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004422811,"about_ca_system_score_gemma":0.0003646361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006400623,"about_ca_topic_score_gemma":0.0007661209,"domain_scores_codex":[0.9994905,0.000220591,0.00001632035,0.0001131407,0.0001222744,0.00003715631],"domain_scores_gemma":[0.9995672,0.000247876,0.00006516588,0.00003964001,0.00006494309,0.0000151684],"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":[0.0001303773,0.00002393996,0.0006526101,0.0001348573,0.00007286004,0.00008955633,0.0001122667,0.739022,0.01374149,0.07941846,0.001806902,0.1647947],"study_design_scores_gemma":[0.0000542991,0.0001151499,0.0002965848,0.00003155929,0.00002087044,0.00008622216,0.00004117265,0.9200396,0.004653739,0.06742504,0.007210153,0.00002563204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00710664,0.0009098416,0.9889278,0.0002422728,0.00006308292,0.00001372184,0.0000168801,0.0001049922,0.002614691],"genre_scores_gemma":[0.5281631,0.003022959,0.4603156,0.0003849211,0.0002911486,0.0001604518,0.0001045753,0.00006311297,0.007494129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001184585,"threshold_uncertainty_score":0.003962815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2541492143","doi":"10.1109/acssc.2007.4487529","title":"PAPR Reduction in OFDM Systems by Successive Random Sign Negation","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Reduction (mathematics); Sign (mathematics); Orthogonal frequency-division multiplexing; Negation; Algorithm; Set (abstract data type); Mathematics; Sequence (biology); Simple (philosophy); Computational complexity theory; Computer science; Block (permutation group theory); Arithmetic; Telecommunications; Combinatorics","authors":[{"name":"Shouxing Qu","is_ca":true},{"name":"F. Kohandani","is_ca":true},{"name":"J. Womack","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03091980123794549,"gpt":0.2573784098688442,"spread":0.2264586086308988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004549877,0.0003150441,0.0003215331,0.0003173926,0.0002281623,0.0003052188,0.000326931,0.0002339263,0.0007400178],"category_scores_gemma":[0.001445813,0.0001407636,0.0002873254,0.0003279696,0.0004759677,0.000411814,0.0003486837,0.0002971304,0.0002441813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483581,"about_ca_system_score_gemma":0.0003025802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003151991,"about_ca_topic_score_gemma":0.0005827981,"domain_scores_codex":[0.999554,0.0001338111,0.00002314087,0.0000420368,0.0002232767,0.00002371297],"domain_scores_gemma":[0.9997242,0.0001387664,0.00003866974,0.00003879892,0.00005310324,0.000006466962],"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":[0.0003555585,0.00007805203,0.001257037,0.0002955828,0.0000685846,0.0006220522,0.0003603243,0.06450757,0.4370992,0.02859022,0.001183884,0.4655819],"study_design_scores_gemma":[0.00007318523,0.0007957387,0.001838676,0.000046993,0.0001087684,0.003004831,0.00009044439,0.6885091,0.2792982,0.01196939,0.01420888,0.00005578258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1012689,0.0006960341,0.8921005,0.0001539481,0.00004897765,0.00005328605,0.00002098204,0.0004420403,0.005215362],"genre_scores_gemma":[0.6439226,0.0008543447,0.351491,0.0001128187,0.00006867553,0.00005989655,0.00006648432,0.00006586761,0.003358215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007400178,"threshold_uncertainty_score":0.002475619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2545735026","doi":"10.1109/acssc.2007.4487638","title":"Decentralized Collaborative Uplink Beamforming with Robustness Against Channel Mismatches","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"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":"Beamforming; Robustness (evolution); Telecommunications link; Fading; Computer science; Channel state information; Channel (broadcasting); Base station; Precoding; Computer network; Algorithm; Telecommunications; Electronic engineering; Engineering; MIMO; Wireless","authors":[{"name":"Amr El‐Keyi","is_ca":true},{"name":"Benoı̂t Champagne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02905629653145266,"gpt":0.2466842825005734,"spread":0.2176279859691208,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001315579,0.0009120656,0.001199795,0.0004293746,0.000614085,0.001057304,0.00140142,0.001328535,0.001488474],"category_scores_gemma":[0.005003371,0.0004894639,0.0004750062,0.0007548616,0.0007599751,0.00120023,0.00166033,0.001041834,0.0009531516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770724,"about_ca_system_score_gemma":0.0009626301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000996771,"about_ca_topic_score_gemma":0.00123039,"domain_scores_codex":[0.998686,0.0003206421,0.00006179458,0.0002879884,0.000508342,0.0001352601],"domain_scores_gemma":[0.9975855,0.001029862,0.0003433894,0.0004855001,0.0004804983,0.00007518831],"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":[0.0001806357,0.0000599134,0.0003902201,0.00005373697,0.00005371638,0.00008293296,0.00008653008,0.8079133,0.01388775,0.0176551,0.001676059,0.1579602],"study_design_scores_gemma":[0.00002986735,0.00004888736,0.00007192998,0.000004471427,0.000007716014,0.00005009616,0.000007617551,0.9908359,0.003487697,0.004744693,0.0007009029,0.00001021025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00288046,0.00002967293,0.9962636,0.00003950575,0.00001157484,0.000009913269,0.000008985518,0.000155009,0.0006012846],"genre_scores_gemma":[0.5426435,0.0001195853,0.4536869,0.0001332313,0.0001118268,0.0002048298,0.0001226276,0.00008011005,0.002897274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001488474,"threshold_uncertainty_score":0.006957531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2543525900","doi":"10.1109/acssc.2007.4487476","title":"Classification-Based Techniques for Improving the Robustness of CELP Coders","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Code-excited linear prediction; Robustness (evolution); Computer science; Speech recognition; Speech coding; Encoder; Linear predictive coding","authors":[{"name":"Milan Jelinek","is_ca":true},{"name":"Václav Eksler","is_ca":true},{"name":"Catherine Lemyre","is_ca":true},{"name":"Roch Lefebvre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07869613810355884,"gpt":0.3129011411164772,"spread":0.2342050030129183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503317,0.001452071,0.0009771613,0.002163482,0.0009489973,0.001241526,0.001338556,0.00134761,0.002260125],"category_scores_gemma":[0.009305532,0.0004674423,0.0005925001,0.001159908,0.000682259,0.001445008,0.0008863689,0.002399094,0.001767654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007916805,"about_ca_system_score_gemma":0.0005911607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397762,"about_ca_topic_score_gemma":0.003608453,"domain_scores_codex":[0.9984262,0.0001930929,0.0001250042,0.000197217,0.0009204245,0.0001381909],"domain_scores_gemma":[0.9950609,0.00198556,0.0006299589,0.0006256047,0.001617663,0.00008037156],"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":[0.0005641216,0.000134888,0.00161525,0.0002522227,0.00006124449,0.0002254569,0.000203581,0.04334652,0.2224271,0.00623829,0.003272709,0.7216586],"study_design_scores_gemma":[0.00004876688,0.0002493722,0.002810961,0.00007286062,0.0000846718,0.0006594218,0.0000818126,0.6500253,0.3283153,0.003719427,0.01384207,0.0000900866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01987926,0.0009688881,0.9751077,0.0002837066,0.0001514577,0.00008031823,0.00008199718,0.001664835,0.001781813],"genre_scores_gemma":[0.2265128,0.001288941,0.7653697,0.0003640972,0.0004255325,0.0001387857,0.0004693606,0.0003488188,0.00508198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002397762,"threshold_uncertainty_score":0.007950425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2545819561","doi":"10.1109/acssc.2007.4487639","title":"Semi-Blind Adaptive Beamforming for Cyclostationary Signals: A Kalman Filtering Approach","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Cyclostationary process; Beamforming; Kalman filter; Adaptive beamformer; Computer science; Extended Kalman filter; Algorithm; Autoencoder; Control theory (sociology); Mathematical optimization; Mathematics; Artificial intelligence; Telecommunications; Channel (broadcasting); Artificial neural network","authors":[{"name":"Amr El‐Keyi","is_ca":true},{"name":"Benoı̂t Champagne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0937800095394437,"gpt":0.3137663560487998,"spread":0.2199863465093561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005174251,0.0005680261,0.0004923677,0.0004384307,0.0003490833,0.0005785261,0.0005984663,0.0005743278,0.001340797],"category_scores_gemma":[0.00156919,0.0003592473,0.000462325,0.0004966595,0.0006432008,0.0009096729,0.0005222258,0.0008646375,0.0005314405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569553,"about_ca_system_score_gemma":0.0009803375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002870865,"about_ca_topic_score_gemma":0.00361088,"domain_scores_codex":[0.9997211,0.00006711105,0.00002035211,0.00006555929,0.0001035998,0.00002225863],"domain_scores_gemma":[0.9994897,0.0002837392,0.00006336586,0.00004271448,0.0001083612,0.00001220205],"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":[0.00008147227,0.00004527161,0.0008419853,0.0001685412,0.00008258703,0.00006164606,0.0001362743,0.5943169,0.02359375,0.09280561,0.00227906,0.285587],"study_design_scores_gemma":[0.000008274569,0.00002982286,0.0001734558,0.00001225291,0.00001074126,0.00003467409,0.000008404161,0.9831784,0.003313619,0.01003466,0.003176959,0.0000188181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006760831,0.00006607782,0.9988614,0.00003540469,0.00001121373,0.000004486171,0.000006405841,0.00004365887,0.0002951855],"genre_scores_gemma":[0.1545099,0.001097719,0.8398429,0.000171708,0.0001540914,0.0001733905,0.0001364154,0.0000888912,0.003825034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002870865,"threshold_uncertainty_score":0.005708277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}