{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":118,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":118,"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":"c820ccb2f08c","filters":{"venue":"IEEE Transactions on Consumer Electronics"}},"results":[{"id":"W3140715649","doi":"10.1109/tce.2005.1561853","title":"Color filter arrays: design and performance analysis","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":258,"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":"Demosaicing; RGB color model; Color filter array; Artificial intelligence; Computer vision; Pipeline (software); Color gel; Computer science; Bayer filter; Process (computing); Color image; Filter (signal processing); Image processing; Image (mathematics); Materials science","authors":[{"name":"Konstantinos N. Plataniotis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02151520278883265,"gpt":0.2578035988823592,"spread":0.2362883960935265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007323296,0.0007070252,0.0003524386,0.0005768382,0.0002600848,0.0008474818,0.0004055131,0.0007963307,0.003108826],"category_scores_gemma":[0.00198509,0.0002723805,0.0003430201,0.0007768998,0.0002812878,0.0006265909,0.0002709016,0.0004543378,0.001662648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000862305,"about_ca_system_score_gemma":0.0005553172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002045607,"about_ca_topic_score_gemma":0.001421536,"domain_scores_codex":[0.999288,0.0001541518,0.00002770057,0.0000953618,0.0003838367,0.00005096295],"domain_scores_gemma":[0.9987659,0.0004694786,0.0001399341,0.00008452424,0.0005136891,0.00002656251],"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":[0.0005043713,0.0001034584,0.002503605,0.0004951787,0.0001289623,0.0001817459,0.0002253017,0.2255487,0.1816087,0.02930932,0.004313736,0.5550768],"study_design_scores_gemma":[0.000026098,0.0003456869,0.001598423,0.00004839107,0.00005580571,0.0006094318,0.0000382261,0.8450081,0.1326082,0.004273777,0.01533354,0.00005431361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005187887,0.0005472712,0.991184,0.00006804288,0.00002189519,0.00003696415,0.00003075192,0.000330335,0.002592979],"genre_scores_gemma":[0.3003906,0.002475448,0.6890648,0.0001494541,0.0001211549,0.0002016962,0.0001979683,0.0002024374,0.007196384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003108826,"threshold_uncertainty_score":0.01040006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128401974","doi":"10.1109/tce.2021.3056421","title":"Real-Time Speech Emotion Analysis for Smart Home Assistants","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Software deployment; Convolutional neural network; Field (mathematics); Set (abstract data type); Speech recognition; Home automation; Artificial neural network; Artificial intelligence; Machine learning; Multimedia; Human–computer interaction; Telecommunications","authors":[{"name":"Rajdeep Chatterjee","is_ca":false},{"name":"Saptarshi Mazumdar","is_ca":false},{"name":"R. Simon Sherratt","is_ca":false},{"name":"Rohit Halder","is_ca":false},{"name":"Tanmoy Maitra","is_ca":false},{"name":"Debasis Giri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0251893368429825,"gpt":0.3018445807801901,"spread":0.2766552439372075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002290387,0.000289014,0.0002446568,0.0002010375,0.00007867821,0.0002814195,0.0001714502,0.0002112002,0.0009014493],"category_scores_gemma":[0.0005561329,0.00006610325,0.0001693605,0.0001056619,0.00007011351,0.0002283503,0.0001694985,0.0001906515,0.0004315323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528206,"about_ca_system_score_gemma":0.0001084106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262492,"about_ca_topic_score_gemma":0.001396011,"domain_scores_codex":[0.9998822,0.00002486882,0.000007162437,0.00003029955,0.00003992616,0.00001555803],"domain_scores_gemma":[0.9998879,0.00003411824,0.00001107921,0.000009938807,0.00004722162,0.000009723864],"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":[0.001661361,0.0002378448,0.01185345,0.0002119537,0.00008666566,0.0003672692,0.0003160074,0.01809433,0.3229485,0.0004554991,0.003740384,0.6400267],"study_design_scores_gemma":[0.00004589171,0.0004981107,0.03845125,0.00001754079,0.00007322957,0.0003352739,0.0002923527,0.8385754,0.1182781,0.0004724941,0.002929416,0.0000309728],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8208671,0.0005434291,0.1730011,0.0001629729,0.00012914,0.00007616115,0.0004252814,0.002016842,0.0027779],"genre_scores_gemma":[0.9698873,0.0001722424,0.02770667,0.00003829225,0.00002887775,0.0000355717,0.0003694016,0.00002837825,0.001733277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001262492,"threshold_uncertainty_score":0.003015697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131376143","doi":"10.1109/tce.2010.5606338","title":"Robust indoor positioning using differential wi-fi access points","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":118,"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":"Computer science; Path loss; Real-time computing; Differential (mechanical device); Node (physics); Interference (communication); Calibration; Noise (video); Wireless; Telecommunications; Engineering; Statistics","authors":[{"name":"Ning Chang","is_ca":true},{"name":"Rashid Rashidzadeh","is_ca":true},{"name":"Majid Ahmadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01985449380350672,"gpt":0.2433710278772324,"spread":0.2235165340737257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003217671,0.0005442218,0.0003543147,0.000573557,0.0002247446,0.0005034275,0.001094411,0.0005452519,0.000636593],"category_scores_gemma":[0.001377026,0.0002574138,0.0002327809,0.0006764102,0.000271051,0.000793894,0.0008066107,0.0003789737,0.0006184943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093173,"about_ca_system_score_gemma":0.0001731795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006341681,"about_ca_topic_score_gemma":0.0005924671,"domain_scores_codex":[0.9994167,0.0001119053,0.00002496031,0.0001504219,0.0002461266,0.00004980172],"domain_scores_gemma":[0.9995199,0.0001165275,0.00008596872,0.0001173978,0.0001420452,0.00001803472],"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":[0.0005216628,0.00007060725,0.004370388,0.0002048413,0.00009167074,0.0004312426,0.0002144576,0.05498333,0.312438,0.005872793,0.001338447,0.6194625],"study_design_scores_gemma":[0.000103671,0.0008262969,0.007088935,0.00003438667,0.0001288476,0.001788321,0.0001077289,0.7029307,0.2726953,0.003222334,0.01096048,0.0001129463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04724658,0.0001986353,0.9501879,0.00004726194,0.00005340185,0.00001985123,0.00003011619,0.0008553712,0.001360902],"genre_scores_gemma":[0.7504985,0.0002402016,0.2466644,0.00005486581,0.00006261147,0.00004703294,0.0001198145,0.00002656553,0.00228596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001094411,"threshold_uncertainty_score":0.002129674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386952188","doi":"10.1109/tce.2023.3318509","title":"AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electronics; Computer science; Health care; Computer security; Information privacy; Internet privacy; Engineering; Electrical engineering","authors":[{"name":"Abbas Yazdinejad","is_ca":true},{"name":"Ali Dehghantanha","is_ca":true},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03265274158927208,"gpt":0.3048174634814943,"spread":0.2721647218922222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004323924,0.0005904844,0.000833457,0.0006075265,0.000785524,0.002310735,0.002770838,0.001482882,0.00360344],"category_scores_gemma":[0.007633528,0.0003220694,0.0008063809,0.0007477069,0.001087605,0.003841419,0.003728042,0.001785108,0.0008878544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177802,"about_ca_system_score_gemma":0.002744437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483493,"about_ca_topic_score_gemma":0.002322009,"domain_scores_codex":[0.9974117,0.000966948,0.0001667372,0.0004581925,0.0007236838,0.0002729268],"domain_scores_gemma":[0.9968436,0.001036739,0.0002922555,0.001164891,0.0004955603,0.0001670099],"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":[0.0009680531,0.0003536482,0.00448386,0.000351789,0.0001285988,0.0008886019,0.0004350242,0.4611781,0.00807637,0.1316703,0.01588881,0.3755769],"study_design_scores_gemma":[0.00002729135,0.00006356418,0.0002952714,0.00002889398,0.00001573982,0.0002054973,0.00003648147,0.9364472,0.003613454,0.05301658,0.006227834,0.00002214026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005353534,0.0002369802,0.9902859,0.0004643025,0.00003824378,0.00009042609,0.0001372507,0.002378486,0.001014847],"genre_scores_gemma":[0.6253916,0.0005114195,0.3672664,0.0007305695,0.000093162,0.0003512311,0.0006231432,0.0002414226,0.004791075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004323924,"threshold_uncertainty_score":0.02286738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2171648450","doi":"10.1109/tce.2004.1277871","title":"A novel cost effective demosaicing approach","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":89,"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":"Demosaicing; Interpolation (computer graphics); Computer vision; Artificial intelligence; Color filter array; Computer science; Color difference; Color correction; Process (computing); Enhanced Data Rates for GSM Evolution; Color image; Image processing; Image (mathematics); Color gel; Physics","authors":[{"name":"Konstantinos N. Plataniotis","is_ca":true},{"name":"Dimitrios Hatzinakos","is_ca":true},{"name":"M. Aleksić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01207367660902718,"gpt":0.2495622807884047,"spread":0.2374886041793776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591231,0.0007455745,0.0005193927,0.0007809685,0.0003141428,0.0006394601,0.0009223181,0.0005692743,0.002894167],"category_scores_gemma":[0.0003676402,0.0003214813,0.0004966586,0.0006614201,0.00023928,0.0007397149,0.0008185257,0.0008501512,0.002177365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458772,"about_ca_system_score_gemma":0.0007570715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606029,"about_ca_topic_score_gemma":0.002877066,"domain_scores_codex":[0.9997008,0.00002034138,0.00001076948,0.00006335229,0.000180023,0.00002475393],"domain_scores_gemma":[0.999868,0.00001520982,0.00001112201,0.00003646208,0.0000589611,0.00001019782],"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":[0.00006896566,0.00004558582,0.0002791091,0.0001755477,0.00005263906,0.0001113808,0.00006279544,0.02008375,0.2153361,0.01795718,0.005672893,0.7401541],"study_design_scores_gemma":[0.00003595226,0.0001160697,0.001166259,0.00003452167,0.00007239127,0.001364909,0.00006539595,0.7488195,0.1531264,0.01310699,0.0820157,0.00007587843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001901147,0.0001834833,0.9956275,0.00004702257,0.00006604038,0.00002099226,0.00003552877,0.00044675,0.001671602],"genre_scores_gemma":[0.03118129,0.0003936185,0.9614875,0.00008328568,0.00006703704,0.00003845232,0.0002126237,0.00007980305,0.006456355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002894167,"threshold_uncertainty_score":0.00968194,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390956158","doi":"10.1109/tce.2024.3355061","title":"AI-Enabled Trajectory Optimization of Logistics UAVs With Wind Impacts in Smart Cities","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Payload (computing); Computer science; Trajectory; Energy consumption; Motion planning; Wind power; Process (computing); Genetic algorithm; Trajectory optimization; Real-time computing; Path (computing); Simulation; Engineering; Artificial intelligence","authors":[{"name":"Pengfei Du","is_ca":false},{"name":"Yueqiang Shi","is_ca":false},{"name":"Haotong Cao","is_ca":false},{"name":"Sahil Garg","is_ca":true},{"name":"Mubarak Alrashoud","is_ca":false},{"name":"Piyush Kumar Shukla","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01395406950636781,"gpt":0.2454739336103939,"spread":0.231519864104026,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170478,0.0005906389,0.000552347,0.000361872,0.0004171593,0.0006570178,0.0005082582,0.0005888018,0.00114602],"category_scores_gemma":[0.0009008544,0.0002963298,0.0004910874,0.000422473,0.0004222713,0.0004167932,0.0006340179,0.0005090854,0.0001240408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007093851,"about_ca_system_score_gemma":0.0009669035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940666,"about_ca_topic_score_gemma":0.009774627,"domain_scores_codex":[0.9998914,0.00003216655,0.000005390601,0.00002108757,0.00001933564,0.00003063458],"domain_scores_gemma":[0.9997142,0.0001498732,0.00004584849,0.0000147254,0.00004887612,0.00002641909],"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":[0.00001408847,0.000005436426,0.0003071109,0.00001099931,0.000006184117,0.0000341443,0.0000115542,0.9949651,0.0002599283,0.001118268,0.0001326379,0.003134489],"study_design_scores_gemma":[0.000002879044,0.000008068913,0.00006761155,0.000002038892,0.000002132354,0.00000343594,0.00001092208,0.9992056,0.0000830877,0.00049294,0.0001199384,0.000001306596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2346091,0.0008812483,0.7531276,0.000457394,0.000101487,0.00008813092,0.0001853859,0.000402501,0.01014719],"genre_scores_gemma":[0.9630694,0.0002121649,0.0346844,0.00004622205,0.000009165963,0.00007293307,0.0001202626,0.00002591858,0.001759387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01940666,"threshold_uncertainty_score":0.03858745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2171952757","doi":"10.1109/tce.2004.1277836","title":"Digital camera zooming based on unified CFA image processing steps","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image and Signal Denoising Methods","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demosaicing; Zoom; Computer vision; Computer science; Artificial intelligence; Color filter array; Image sensor; Image processing; Interpolation (computer graphics); Digital image processing; Digital camera; Color image; Color gel; Image (mathematics); Engineering","authors":[{"name":"K. Heath Martin","is_ca":true},{"name":"K.N. Platanoitis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01393191668487274,"gpt":0.2604193193130161,"spread":0.2464874026281434,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589323,0.0005567672,0.0004333949,0.0006972366,0.0002353514,0.0004422252,0.0005713808,0.0003165323,0.00294586],"category_scores_gemma":[0.0008069759,0.0003026968,0.0003291013,0.0004984972,0.000308234,0.0005669532,0.0007187907,0.0005708067,0.0008662422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836372,"about_ca_system_score_gemma":0.0005176668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032193,"about_ca_topic_score_gemma":0.002034216,"domain_scores_codex":[0.999729,0.00002628267,0.00001273595,0.0000603492,0.0001459954,0.00002563181],"domain_scores_gemma":[0.999686,0.00005393456,0.00003385629,0.00007672507,0.0001234967,0.0000260112],"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":[0.0002221168,0.00006190879,0.0004662457,0.0001473545,0.00002498618,0.0001083388,0.0001332234,0.01095986,0.5233119,0.01017839,0.002088934,0.4522969],"study_design_scores_gemma":[0.00008661499,0.0003989635,0.003017228,0.00005152423,0.00005746957,0.001062639,0.00006629914,0.4151963,0.5470268,0.004304141,0.02863584,0.00009622928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00763998,0.0001177122,0.9896365,0.00002938728,0.0000364644,0.00004542809,0.00001963252,0.001073308,0.001401684],"genre_scores_gemma":[0.08322525,0.0001603674,0.913959,0.00006270874,0.00002574684,0.00005723674,0.00006688477,0.00007863159,0.002364133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00294586,"threshold_uncertainty_score":0.009854913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072033671","doi":"10.1109/tce.2012.6227459","title":"Vehicle navigator using a mixture particle filter for inertial sensors/odometer/map data/GPS integration","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada; Queen's University; Trusted Positioning (Canada)","funders":"","keywords":"Odometer; Global Positioning System; Inertial measurement unit; Inertial navigation system; GPS/INS; Computer science; Dead reckoning; Particle filter; Real-time computing; Assisted GPS; Kalman filter; Artificial intelligence; Inertial frame of reference; Telecommunications","authors":[{"name":"Jacques Georgy","is_ca":true},{"name":"Aboelmagd Noureldin","is_ca":true},{"name":"Chris Goodall","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04847421445201703,"gpt":0.2954816891852253,"spread":0.2470074747332083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005060948,0.0007562382,0.0007466659,0.0004904972,0.0003681321,0.0005392303,0.0007339819,0.0009518889,0.001424121],"category_scores_gemma":[0.0006589112,0.0004170595,0.0008100596,0.0005371122,0.0002241089,0.0007179702,0.0007213084,0.0008166275,0.001028411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498733,"about_ca_system_score_gemma":0.0008742023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009856989,"about_ca_topic_score_gemma":0.009285758,"domain_scores_codex":[0.9995871,0.00005699528,0.00001906067,0.0001080417,0.00018699,0.00004186328],"domain_scores_gemma":[0.9998106,0.0000423819,0.00001858261,0.0000299433,0.00008495241,0.00001347459],"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":[0.0007165014,0.000273998,0.004503501,0.0002050062,0.000428491,0.0002179996,0.0001656712,0.2565369,0.06472687,0.006828961,0.004939451,0.6604566],"study_design_scores_gemma":[0.00002897393,0.00009736297,0.001018711,0.000005557697,0.00003756847,0.00006328005,0.000008194723,0.9882119,0.007016548,0.0004593144,0.00303418,0.00001839066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009242184,0.0001390858,0.9888232,0.00004632611,0.00008257112,0.00002674035,0.00003309376,0.0008170384,0.0007897675],"genre_scores_gemma":[0.3881401,0.0004003658,0.6013624,0.0001737958,0.0001625576,0.0001736171,0.0004364648,0.0001232846,0.009027466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009856989,"threshold_uncertainty_score":0.01959926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2155008280","doi":"10.1109/tce.2005.1468002","title":"Data adaptive filters for demosaicking: a framework","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":55,"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":"Demosaicing; Color filter array; Computer science; Artificial intelligence; Computer vision; Interpolation (computer graphics); Visualization; Software; Filter (signal processing); Weighting; Color gel; Image processing; Image (mathematics); Color image; Layer (electronics)","authors":[{"name":"Konstantinos N. Plataniotis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06146109074078938,"gpt":0.3240065159612547,"spread":0.2625454252204653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362764,0.001143907,0.0007043684,0.001209772,0.0004139474,0.001448045,0.001715428,0.001456087,0.001744024],"category_scores_gemma":[0.002381781,0.0005870179,0.001222516,0.001195677,0.001023067,0.00117892,0.001513124,0.001532927,0.001428216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754276,"about_ca_system_score_gemma":0.001101301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313183,"about_ca_topic_score_gemma":0.00269503,"domain_scores_codex":[0.9992975,0.0001860086,0.00005126028,0.0001171955,0.000302973,0.00004515687],"domain_scores_gemma":[0.999364,0.0002313914,0.00005325926,0.0001076675,0.0002072889,0.00003641049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009966535,0.00005717518,0.0004518709,0.0004308622,0.0001367928,0.0004205735,0.0003096311,0.3176428,0.03190965,0.3430882,0.006099252,0.2993535],"study_design_scores_gemma":[0.00001594397,0.00004726014,0.0001207547,0.00004830399,0.00003414747,0.0002223478,0.00003576546,0.9111041,0.007995147,0.06252016,0.01781735,0.00003879736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00011762,0.00005569159,0.9995812,0.00001772204,0.000007387453,0.000006287961,0.000008736733,0.00004692968,0.0001584392],"genre_scores_gemma":[0.01716901,0.0005556395,0.9807687,0.00005435506,0.00006409656,0.0001144215,0.0001074189,0.00007207621,0.001094307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00313183,"threshold_uncertainty_score":0.007207096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405488693","doi":"10.1109/tce.2024.3519389","title":"Enhancing Power Grid Stability: Design and Integration of a Fast Bus Tripping System in Protection Relays","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Tripping; Power-system protection; Protective relay; Electric power system; Grid; Computer science; Relay; Power grid; Electrical engineering; Power (physics); Engineering; Electronic engineering; Circuit breaker","authors":[{"name":"Mohammad Ghiasi","is_ca":true},{"name":"Zhanle Wang","is_ca":true},{"name":"Mehran Mehrandezh","is_ca":true},{"name":"Hassan Haes Alhelou","is_ca":false},{"name":"Noradin Ghadimi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0138028724271436,"gpt":0.2114978082988725,"spread":0.197694935871729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002296409,0.0005428771,0.0002648232,0.0003636346,0.000222988,0.0005615154,0.001006425,0.0004478129,0.001192642],"category_scores_gemma":[0.0004270234,0.0001953665,0.000174698,0.000214659,0.0002035434,0.0006118317,0.0003515309,0.0003766908,0.0005548613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597701,"about_ca_system_score_gemma":0.0003801901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005455626,"about_ca_topic_score_gemma":0.0008574398,"domain_scores_codex":[0.9997727,0.00004372308,0.00001542627,0.00006368336,0.00008479022,0.00001976114],"domain_scores_gemma":[0.9997819,0.00003310383,0.00005905878,0.00003227527,0.00007834978,0.0000153501],"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":[0.0003920566,0.0002122893,0.00213829,0.0004047856,0.00007121272,0.0005562322,0.0002830277,0.1624645,0.3904247,0.02158384,0.002392363,0.4190767],"study_design_scores_gemma":[0.00008405936,0.001578725,0.001947741,0.00004992883,0.000101444,0.0009350561,0.00005408085,0.8215185,0.1397613,0.003091189,0.03084326,0.00003480419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02834282,0.0002393687,0.9652814,0.00007709762,0.00004162517,0.0001635209,0.00002913269,0.001057117,0.004767998],"genre_scores_gemma":[0.693166,0.0002944094,0.303169,0.00004663091,0.00004374537,0.000158094,0.00005520295,0.00006691895,0.003000008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001192642,"threshold_uncertainty_score":0.003989756,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791208937","doi":"10.1109/tce.2018.2811261","title":"Protecting Home User Devices with an SDN-Based Firewall","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":52,"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":"Computer science; Firewall (physics); Computer network; OpenFlow; Network packet; The Internet; Stateful firewall; Network security; Computer security; Software-defined networking; Operating system","authors":[{"name":"Sajad Shirali-Shahreza","is_ca":true},{"name":"Yashar Ganjali","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01364169306219969,"gpt":0.2362424446568701,"spread":0.2226007515946704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001659264,0.00066815,0.0006195672,0.0009129899,0.000599703,0.00118394,0.001457974,0.0009091548,0.0009708285],"category_scores_gemma":[0.002250567,0.0003744883,0.0003466688,0.0004274277,0.0004761129,0.00257447,0.001648099,0.00099322,0.0004661693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000539052,"about_ca_system_score_gemma":0.000717987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010136,"about_ca_topic_score_gemma":0.0009925403,"domain_scores_codex":[0.9988278,0.0002188947,0.0001396247,0.0002210301,0.0004739809,0.0001185739],"domain_scores_gemma":[0.9979449,0.0003722152,0.0002737269,0.0008217465,0.0004517389,0.0001356924],"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":[0.001459373,0.001089346,0.02574592,0.0004021008,0.0003555091,0.0009230135,0.0006208029,0.03201766,0.2279121,0.01558338,0.0133748,0.6805159],"study_design_scores_gemma":[0.0001859816,0.0007914239,0.007255841,0.0001446721,0.0002919724,0.001572522,0.0001753368,0.7199029,0.2279751,0.006431698,0.03511177,0.0001607219],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1277999,0.0006021484,0.8477724,0.0003684364,0.0002530314,0.0003367887,0.000150307,0.01675468,0.005962357],"genre_scores_gemma":[0.7979695,0.0003108375,0.1970759,0.0004243396,0.00006931675,0.0001137735,0.0003787113,0.0001734141,0.003484142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001659264,"threshold_uncertainty_score":0.008775115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157970046","doi":"10.1109/tce.2009.5174448","title":"An H.264-based scheme for 2D to 3D video conversion","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":50,"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":"Computer vision; Computer science; Artificial intelligence; Motion estimation; Stereoscopy; 2D to 3D conversion; Depth map; Block-matching algorithm; Quarter-pixel motion; Motion compensation; Computer graphics (images); Video processing; Video tracking; Image (mathematics)","authors":[{"name":"Mahsa T. Pourazad","is_ca":true},{"name":"Panos Nasiopoulos","is_ca":true},{"name":"Rabab Ward","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01332768280821222,"gpt":0.291655325781635,"spread":0.2783276429734228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173412,0.000613326,0.0003298617,0.0008826791,0.0003356143,0.000354385,0.0006156971,0.000449117,0.004215492],"category_scores_gemma":[0.0003964234,0.0002194331,0.0003356068,0.0006186751,0.0001939733,0.0003859821,0.0003614372,0.0006280608,0.001722871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254914,"about_ca_system_score_gemma":0.0004732461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009421,"about_ca_topic_score_gemma":0.003179271,"domain_scores_codex":[0.9998403,0.00001643261,0.000009073722,0.00001715898,0.00009914123,0.00001784844],"domain_scores_gemma":[0.9999015,0.00001439368,0.00001064881,0.00001905232,0.00004731115,0.000007135134],"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":[0.0001841079,0.0001106898,0.0003188589,0.0003298822,0.00003006749,0.0004348501,0.0001295772,0.01232427,0.2604817,0.01204834,0.01418556,0.6994222],"study_design_scores_gemma":[0.0001601598,0.0008002849,0.003345936,0.0001591276,0.0001054024,0.003385016,0.00009601871,0.4769464,0.3163385,0.009456704,0.1890096,0.0001967562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007481143,0.0007298162,0.9840078,0.00008850281,0.0001923678,0.0002390852,0.000232558,0.002180161,0.004848394],"genre_scores_gemma":[0.09640492,0.001313094,0.8879765,0.0001385654,0.0002039271,0.0002927005,0.0008697509,0.0001936997,0.01260686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004215492,"threshold_uncertainty_score":0.01410216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123696729","doi":"10.1109/30.982780","title":"Secure communication using a chaos based signal encryption scheme","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","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":"Encryption; Transmitter; Computer science; SIGNAL (programming language); Chaotic; Electronic engineering; Secure communication; Synchronization (alternating current); Channel (broadcasting); Digital signal; Telecommunications; Computer hardware; Computer network; Engineering; Digital signal processing; Artificial intelligence","authors":[{"name":"K. Murali","is_ca":true},{"name":"Haiyang Yu","is_ca":true},{"name":"Vinay Varadan","is_ca":true},{"name":"Henry Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02239594678712683,"gpt":0.2602155601352265,"spread":0.2378196133480996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001969353,0.0002680355,0.000292776,0.000309435,0.0003789933,0.0003974449,0.0003139967,0.0004848733,0.002085257],"category_scores_gemma":[0.0004900381,0.000112971,0.0002557512,0.000246339,0.0002984773,0.0007389266,0.0005098085,0.0003186314,0.000620653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597688,"about_ca_system_score_gemma":0.0002136593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000181439,"about_ca_topic_score_gemma":0.0001629497,"domain_scores_codex":[0.9997693,0.00004379993,0.00001811254,0.00002180416,0.0001154918,0.00003156702],"domain_scores_gemma":[0.9998356,0.00004603655,0.00003179924,0.00004046641,0.00003784394,0.000008190119],"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":[0.0008345756,0.0001676441,0.00128123,0.0003161418,0.00009936144,0.001222402,0.0004070444,0.1122077,0.518143,0.2327826,0.00342679,0.1291115],"study_design_scores_gemma":[0.0002158493,0.0006951314,0.0009027467,0.00004791698,0.00006117457,0.001695773,0.00004054729,0.7494695,0.1863206,0.03088341,0.02959948,0.00006792888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2801915,0.0009099658,0.6953861,0.0009508579,0.0001986888,0.0002978554,0.0001851307,0.0008308789,0.02104914],"genre_scores_gemma":[0.9242761,0.0004368832,0.06802917,0.00008321732,0.00004793005,0.0001197958,0.0000784256,0.0000231865,0.006905249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002085257,"threshold_uncertainty_score":0.006975889,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401387542","doi":"10.1109/tce.2024.3440178","title":"Advancing Security and Trust in WSNs: A Federated Multi-Agent Deep Reinforcement Learning Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Software-Defined Networks and 5G","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":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Reinforcement learning; Computer science; Wireless sensor network; Computer security; Artificial intelligence; Computer network; Distributed computing","authors":[{"name":"Hajar Moudoud","is_ca":true},{"name":"Zakaria Abou El Houda","is_ca":true},{"name":"Bouziane Brik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01119845307487038,"gpt":0.241242618607947,"spread":0.2300441655330766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826956,0.0007570235,0.0009807312,0.0003776372,0.0004302761,0.001040789,0.001788814,0.00126431,0.00108658],"category_scores_gemma":[0.00358844,0.0003869228,0.0006158131,0.0003192127,0.001215272,0.001207151,0.001881205,0.001583664,0.0001522813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158838,"about_ca_system_score_gemma":0.001675304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263684,"about_ca_topic_score_gemma":0.005506863,"domain_scores_codex":[0.999236,0.0002639539,0.00003551859,0.000161936,0.0001663191,0.0001364044],"domain_scores_gemma":[0.9985319,0.0006770733,0.0002253989,0.000134244,0.0002869951,0.0001442349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000411839,0.0000512255,0.0006479504,0.00002887324,0.00004348829,0.00006945612,0.00005608664,0.9728406,0.000802453,0.008039482,0.0004895355,0.01688977],"study_design_scores_gemma":[0.000003999913,0.00001273116,0.00003543918,0.00000230949,0.000003692597,0.000004648874,0.000003953429,0.9970323,0.00009776303,0.002669913,0.0001311439,0.000002052899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03070378,0.0003189761,0.9649895,0.0007591138,0.00006041289,0.00004765818,0.00003587147,0.0004390245,0.002645666],"genre_scores_gemma":[0.9144145,0.0001608386,0.08283789,0.0002871925,0.00004471032,0.00008821126,0.0000592883,0.00004149155,0.002065918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006263684,"threshold_uncertainty_score":0.01245445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048639857","doi":"10.1109/tce.2005.1405697","title":"Robust data transmission using the transmitter identification sequences in ATSC DVT signals","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Communications Research Centre Canada","funders":"","keywords":"Transmitter; Computer science; Robustness (evolution); Transmission (telecommunications); Data transmission; Identification (biology); Electronic engineering; Synchronization (alternating current); Digital radio; Telecommunications; Engineering; Computer network; Channel (broadcasting)","authors":[{"name":"Xianbin Wang","is_ca":true},{"name":"Yiyan Wu","is_ca":true},{"name":"Jean‐Yves Chouinard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07861075684714051,"gpt":0.3116254020682989,"spread":0.2330146452211584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003722509,0.0002889489,0.0002511461,0.000504663,0.0002496247,0.0003642201,0.000302905,0.0003416952,0.0007292677],"category_scores_gemma":[0.001197824,0.0001090102,0.0001223426,0.0004023124,0.0003001888,0.0004271022,0.0003098215,0.000336837,0.0003534071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482185,"about_ca_system_score_gemma":0.0002017601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992681,"about_ca_topic_score_gemma":0.0002260829,"domain_scores_codex":[0.9995497,0.0001049611,0.00003209046,0.00006349901,0.0002183852,0.00003135088],"domain_scores_gemma":[0.999391,0.0001713039,0.0001451835,0.0001011499,0.0001737288,0.00001758758],"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":[0.0007453252,0.00005964105,0.002061256,0.0002368059,0.00003155343,0.0003581666,0.0003308694,0.0152421,0.6766911,0.01480173,0.001468426,0.2879731],"study_design_scores_gemma":[0.00008903605,0.001650913,0.003969378,0.00008730062,0.00008118376,0.002366646,0.0001092956,0.2160468,0.7557921,0.004388722,0.01536151,0.00005716933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2432134,0.001294276,0.7452537,0.0003257777,0.0001418502,0.0001399127,0.0001531993,0.0012362,0.008241762],"genre_scores_gemma":[0.8541962,0.0004970359,0.1419133,0.0001034011,0.00008682519,0.00006374162,0.0001515878,0.00004715398,0.002940726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007292677,"threshold_uncertainty_score":0.002439618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164554221","doi":"10.1109/tce.2012.6227462","title":"Robust video stabilization based on particle filtering with weighted feature points","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":35,"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":"RANSAC; Motion estimation; Artificial intelligence; Robustness (evolution); Computer vision; Feature (linguistics); Kalman filter; Computer science; Motion field; Particle filter; Image stabilization; Quarter-pixel motion; Mathematics; Pattern recognition (psychology); Image (mathematics)","authors":[{"name":"Chunhe Song","is_ca":true},{"name":"Hai Zhao","is_ca":false},{"name":"Jing Wei","is_ca":false},{"name":"Hongbo Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01752601709365206,"gpt":0.2260306476612334,"spread":0.2085046305675813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005564908,0.0006891461,0.0008500622,0.0006933077,0.000398724,0.0004813468,0.0007610041,0.0007403479,0.0005834508],"category_scores_gemma":[0.001598503,0.0003273938,0.0005724983,0.000716174,0.0003562807,0.0008258657,0.0005769292,0.0006307031,0.0002796884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004303558,"about_ca_system_score_gemma":0.0004138089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007798,"about_ca_topic_score_gemma":0.001797052,"domain_scores_codex":[0.9994158,0.00008744834,0.0000296775,0.0001529155,0.0002850895,0.00002913476],"domain_scores_gemma":[0.9995832,0.0001247348,0.00008462818,0.00005996117,0.0001348657,0.00001258269],"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":[0.0003558391,0.00009086363,0.00126808,0.0001841067,0.0001332817,0.0002150759,0.0002451856,0.293127,0.1226659,0.01072959,0.00205867,0.5689264],"study_design_scores_gemma":[0.00001756752,0.00008592142,0.0004393565,0.000007306602,0.00001757352,0.00005415999,0.000009635769,0.983354,0.01332164,0.001208799,0.001465837,0.00001828982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005813675,0.0001516721,0.9932808,0.00003226568,0.00003548474,0.00001914236,0.000007327565,0.0002741354,0.0003854748],"genre_scores_gemma":[0.4578405,0.0005061718,0.5386807,0.00006498609,0.0001045408,0.0001605525,0.0001234249,0.00008089731,0.002438327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003007798,"threshold_uncertainty_score":0.005980611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402475093","doi":"10.1109/tce.2024.3458985","title":"A Privacy-Preserving Framework for Efficient Network Intrusion Detection in Consumer Network Using Quantum Federated Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Network Security and Intrusion Detection","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":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Computer science; Intrusion detection system; Information privacy; Network security; Computer network; Computer security","authors":[{"name":"Zakaria Abou El Houda","is_ca":true},{"name":"Hajar Moudoud","is_ca":true},{"name":"Bouziane Brik","is_ca":false},{"name":"Muhammad Adil","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01923848152324924,"gpt":0.2705504916579696,"spread":0.2513120101347204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837955,0.0004587642,0.0009364322,0.0005383488,0.0007706827,0.001291263,0.001779978,0.001066579,0.001625396],"category_scores_gemma":[0.002790685,0.0003034504,0.0007397287,0.0007068333,0.001570021,0.002028208,0.001897899,0.001481178,0.0002340628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501214,"about_ca_system_score_gemma":0.002456529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002997589,"about_ca_topic_score_gemma":0.002801223,"domain_scores_codex":[0.9990216,0.0002667799,0.00004632462,0.0002421849,0.0002914554,0.000131617],"domain_scores_gemma":[0.9988915,0.000499006,0.0001235762,0.0002008859,0.0002120002,0.00007308101],"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":[0.0001656296,0.0001526233,0.001417414,0.00008920132,0.0000607071,0.0002089614,0.0001426603,0.7355073,0.005062902,0.1603131,0.002928373,0.0939512],"study_design_scores_gemma":[0.000005087857,0.00001295732,0.00003876646,0.000001843981,0.000003389848,0.00001726376,0.000004850752,0.9825278,0.0005008306,0.01655179,0.0003312202,0.000004139306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009211987,0.00008742578,0.9890725,0.0001945558,0.00001687938,0.00002743576,0.00002919975,0.0002670854,0.001092865],"genre_scores_gemma":[0.7462149,0.0002290612,0.2500317,0.0002913626,0.00005071431,0.0001415526,0.0001364582,0.00007057174,0.002833641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002997589,"threshold_uncertainty_score":0.01089215,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147181464","doi":"10.1109/tce.2003.1209533","title":"Pay-TV system with strong privacy and non-repudiation protection","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Cryptography and Data Security","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":"National Research Council Canada","funders":"","keywords":"Ticket; Service provider; Internet privacy; Computer security; Business; Privacy protection; Service (business); Advertising; Computer science; Marketing","authors":[{"name":"Ronggong Song","is_ca":true},{"name":"Larry Korba","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01048432833385134,"gpt":0.2146471688029665,"spread":0.2041628404691151,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002629476,0.0003168798,0.001126219,0.001024283,0.001971469,0.0034255,0.001969515,0.001918845,0.007605164],"category_scores_gemma":[0.006835075,0.0003983803,0.0005897423,0.001171648,0.001492842,0.004349232,0.005131267,0.002034401,0.003088533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000943996,"about_ca_system_score_gemma":0.002442277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061,"about_ca_topic_score_gemma":0.0005013654,"domain_scores_codex":[0.9958812,0.0008651585,0.0003563376,0.0004475099,0.001664864,0.000784875],"domain_scores_gemma":[0.992291,0.00145195,0.0006032222,0.003280702,0.001797967,0.0005750823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003606448,0.0008741607,0.006583445,0.000675403,0.0002199538,0.001682679,0.001580682,0.028243,0.07646809,0.5493823,0.03589893,0.2947849],"study_design_scores_gemma":[0.0008245899,0.001222227,0.00392744,0.0001112688,0.0002631926,0.003669163,0.0004537488,0.648343,0.08386149,0.1374822,0.1194715,0.0003703051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1199477,0.0007257558,0.8265589,0.001341483,0.0004435139,0.0006697571,0.0003208038,0.0122638,0.03772818],"genre_scores_gemma":[0.9401669,0.0001639628,0.04147753,0.0003196434,0.0002297225,0.0002060041,0.0002159026,0.0001383228,0.01708208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007605164,"threshold_uncertainty_score":0.02544183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073887220","doi":"10.1109/tce.2004.1362513","title":"Design and implementation of user interface for mobile devices","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"General Packet Radio Service; Computer science; Bluetooth; User interface design; User interface; Mobile device; Interface (matter); 10-foot user interface; Mobile computing; Natural user interface; Embedded system; Serial port; Computer network; GSM; Wireless; Human–computer interaction; Telecommunications; Operating system; Software","authors":[{"name":"Peter Han Joo Chong","is_ca":true},{"name":"P. L. So","is_ca":false},{"name":"Perry Ping Shum","is_ca":false},{"name":"Xue Jun Li","is_ca":false},{"name":"Deepanshu Goyal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02680795369628322,"gpt":0.3621524398688495,"spread":0.3353444861725663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047648,0.0008827116,0.0007012262,0.0006292096,0.0004027719,0.00160482,0.002204259,0.001341477,0.007246095],"category_scores_gemma":[0.002934815,0.0005541843,0.0005608089,0.0003731748,0.0002872282,0.00109478,0.0008209074,0.001053143,0.003815938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309676,"about_ca_system_score_gemma":0.0004123932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005317907,"about_ca_topic_score_gemma":0.0002796766,"domain_scores_codex":[0.9984165,0.000395947,0.0001962957,0.0002119101,0.0006353657,0.0001440383],"domain_scores_gemma":[0.9989905,0.0001877376,0.0000460924,0.0001371354,0.0005618954,0.00007671908],"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":[0.0006884989,0.0003003286,0.002335131,0.001833276,0.0002080024,0.001776945,0.002011831,0.008364731,0.2638353,0.03793444,0.02383301,0.6568786],"study_design_scores_gemma":[0.0003651825,0.001854966,0.004611877,0.0004692512,0.000378237,0.00460055,0.0003951276,0.2312125,0.3043209,0.008433798,0.4430784,0.0002791885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004206964,0.0003593128,0.9841465,0.00009725898,0.0001247316,0.0005594325,0.00007553394,0.006229818,0.00420031],"genre_scores_gemma":[0.1019631,0.0005963992,0.8802614,0.0003668123,0.0001041757,0.001580393,0.0004884749,0.0008495698,0.01378972],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007246095,"threshold_uncertainty_score":0.02424061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387789936","doi":"10.1109/tce.2023.3325941","title":"Energy Consumption Prediction Model for Smart Homes via Decentralized Federated Learning With LSTM","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Energy consumption; Edge device; Enhanced Data Rates for GSM Evolution; Process (computing); Smart grid; Edge computing; Data modeling; The Internet; Demand response; Distributed computing; Efficient energy use; Big data; Adaptation (eye); Pace; Machine learning; Artificial intelligence; Data mining; Electricity; Cloud computing; Database; Engineering","authors":[{"name":"Dawid Połap","is_ca":false},{"name":"Gautam Srivastava","is_ca":true},{"name":"Antoni Jaszcz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01245058869502185,"gpt":0.2136616554523204,"spread":0.2012110667572985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006879662,0.000434066,0.0006115743,0.0002373955,0.0003259827,0.0005050645,0.0008044131,0.0008448046,0.001960768],"category_scores_gemma":[0.001105422,0.000282747,0.0003981427,0.0003186211,0.0003563163,0.000931285,0.0005141664,0.001065428,0.0003705743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007454096,"about_ca_system_score_gemma":0.0009134088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007894748,"about_ca_topic_score_gemma":0.009278453,"domain_scores_codex":[0.9997993,0.00004332862,0.00001044798,0.00007535028,0.00003560602,0.00003595345],"domain_scores_gemma":[0.9997199,0.0001188477,0.00003414154,0.00003127063,0.0000808314,0.00001505444],"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":[0.0001452392,0.00007332146,0.0007299366,0.00002474417,0.00002493082,0.00005261867,0.00003766028,0.9550401,0.001886094,0.001877617,0.0008631853,0.03924466],"study_design_scores_gemma":[0.000002540947,0.000005981529,0.00004831628,7.645849e-7,0.000001451045,0.000002427585,0.000001877645,0.9990242,0.0002261248,0.0006387086,0.00004654798,0.000001013204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1187786,0.0001876788,0.8753899,0.0005110701,0.00007563796,0.00005035951,0.0002017193,0.001844587,0.002960441],"genre_scores_gemma":[0.963329,0.00004830257,0.03380985,0.00008655927,0.00002163942,0.00007555725,0.0001809626,0.00002777479,0.002420383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007894748,"threshold_uncertainty_score":0.0156976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387885593","doi":"10.1109/tce.2023.3326047","title":"Decisioning-Based Approach for Optimising Control Engineering Tools Using Digital Twin Capabilities and Other Cyber-Physical Metaverse Manufacturing System Components","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":28,"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":"Robustness (evolution); Computer science; Cyber-physical system; Fuzzy logic; Artificial intelligence","authors":[{"name":"Nahia Mourad","is_ca":false},{"name":"Hassan A. Alsattar","is_ca":false},{"name":"Sarah Qahtan","is_ca":false},{"name":"A. A. Zaidan","is_ca":false},{"name":"Muhammet Deveci","is_ca":false},{"name":"Arun Kumar Sangaiah","is_ca":false},{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02930058604745004,"gpt":0.2325758717682148,"spread":0.2032752857207648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003000154,0.001157392,0.0009147069,0.001782121,0.0006285408,0.002343006,0.001461479,0.001053689,0.002236828],"category_scores_gemma":[0.003456462,0.0005380238,0.001186283,0.001039488,0.001204388,0.001566272,0.001449394,0.001026446,0.0002160734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021121,"about_ca_system_score_gemma":0.002119688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00474468,"about_ca_topic_score_gemma":0.004211991,"domain_scores_codex":[0.9979303,0.0008288037,0.0001166683,0.0003180805,0.0006547972,0.0001513078],"domain_scores_gemma":[0.998937,0.0005485592,0.0001651637,0.00005644654,0.0002467584,0.00004616471],"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":[0.00005602491,0.00004822883,0.0005651375,0.000135563,0.00007378817,0.00008840743,0.0001722129,0.9248036,0.002037541,0.03600095,0.0002222919,0.0357962],"study_design_scores_gemma":[0.000009342606,0.00006413096,0.0001301811,0.00001682271,0.00002027747,0.00001954761,0.00005208249,0.9884672,0.0007116698,0.009954097,0.0005441697,0.00001052039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01091228,0.00009650711,0.9860597,0.0001024409,0.0000116441,0.00007254304,0.00002184719,0.0000450534,0.002677974],"genre_scores_gemma":[0.7737663,0.00020297,0.2237537,0.00004785615,0.00001693968,0.000253579,0.00005664861,0.000019835,0.001882156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00474468,"threshold_uncertainty_score":0.01586652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389352396","doi":"10.1109/tce.2023.3338818","title":"Sustainable Secure Communication in Consumer-Centric Electric Vehicle Charging in Industry 5.0 Environments","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Ningbo Municipal Bureau of Science and Technology","keywords":"Automotive industry; Protocol (science); Computer science; Communications protocol; Electric vehicle; Authentication (law); Sustainability; Reliability (semiconductor); Computer security; Efficient energy use; Computer network; Engineering; Electrical engineering","authors":[{"name":"Chien‐Ming Chen","is_ca":false},{"name":"Qingkai Miao","is_ca":false},{"name":"Gautam Srivastava","is_ca":true},{"name":"Saru Kumari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01217649295358238,"gpt":0.2637765860095299,"spread":0.2516000930559475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00285957,0.0003083825,0.0003605524,0.0005532667,0.0007131104,0.001117678,0.0007036425,0.0008576526,0.001100639],"category_scores_gemma":[0.004863894,0.0002023095,0.0003693279,0.0005246676,0.001130449,0.002332744,0.001817503,0.0007517726,0.0003482633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009781846,"about_ca_system_score_gemma":0.001352847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004821759,"about_ca_topic_score_gemma":0.0006130332,"domain_scores_codex":[0.9971555,0.001383956,0.0001145132,0.0001800479,0.0009000506,0.0002658406],"domain_scores_gemma":[0.9972671,0.001309054,0.0003058276,0.0005738875,0.0004880379,0.00005621499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004999632,0.0002945983,0.004265996,0.0005925235,0.00009530901,0.0009182129,0.0007057617,0.372198,0.05746448,0.415254,0.002918615,0.1447926],"study_design_scores_gemma":[0.00002964361,0.0004087751,0.00064589,0.00007228373,0.00004551879,0.0004686271,0.0003318619,0.8592598,0.04813094,0.08028123,0.01027028,0.00005513871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2187973,0.0005756772,0.7687345,0.0005701093,0.000101268,0.0002455309,0.00007123408,0.0003722681,0.01053208],"genre_scores_gemma":[0.9597503,0.0003318948,0.03794529,0.00008555925,0.00001372907,0.00009244908,0.00004737759,0.00002995194,0.001703455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00285957,"threshold_uncertainty_score":0.01512301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385834471","doi":"10.1109/tce.2023.3305550","title":"Toward Facilitating Power Efficient URLLC Systems in UAV Networks Under Jittering","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"UAV Applications and Optimization","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":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Benchmark (surveying); Channel state information; Real-time computing; Channel (broadcasting); Context (archaeology); Transmitter power output; Wireless; Distributed computing; Computer engineering; Transmitter; Computer network; Telecommunications","authors":[{"name":"Ali Ranjha","is_ca":true},{"name":"Muhammad Awais Javed","is_ca":false},{"name":"Md. Jalil Piran","is_ca":false},{"name":"Muhammad Asif","is_ca":false},{"name":"Mostafa Hussien","is_ca":true},{"name":"Sherali Zeadally","is_ca":false},{"name":"Jaroslav Frnda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01358276414109524,"gpt":0.2210710676872744,"spread":0.2074883035461792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243182,0.0005843844,0.0004096651,0.0002575399,0.0003652061,0.0007607141,0.0006113957,0.0004023051,0.00146136],"category_scores_gemma":[0.001443572,0.0001819357,0.0001973925,0.0004264531,0.0003857465,0.0008986287,0.0007143224,0.0005529799,0.0002766784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667606,"about_ca_system_score_gemma":0.0006964769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034831,"about_ca_topic_score_gemma":0.003065491,"domain_scores_codex":[0.9997402,0.00008970068,0.0000112017,0.00003792269,0.0000651825,0.00005583059],"domain_scores_gemma":[0.9995667,0.0002161122,0.00006686439,0.00004096138,0.00008407374,0.00002525011],"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":[0.0001026688,0.00005178144,0.0005527448,0.000121586,0.00001692369,0.0001539667,0.00007802386,0.9103976,0.01031395,0.01259695,0.001677472,0.06393621],"study_design_scores_gemma":[0.000006117336,0.00004257177,0.00006538689,0.000007298091,0.000004138372,0.00002656736,0.00002342943,0.9954218,0.00196654,0.001804235,0.0006288828,0.00000307658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04170907,0.0005943355,0.9519196,0.0001958559,0.00004520309,0.00004396464,0.00004350755,0.0003927297,0.005055727],"genre_scores_gemma":[0.917533,0.0004104375,0.08029833,0.0001051751,0.00003592027,0.00005495196,0.00006382204,0.00004308066,0.001455438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002034831,"threshold_uncertainty_score":0.004888713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132125297","doi":"10.1109/tce.2006.1649641","title":"Single-Sensor Camera Image Compression","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced Data Compression 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":"University of Toronto","funders":"","keywords":"Computer vision; Color filter array; Computer science; Artificial intelligence; JPEG; Image sensor; Digital camera; Image compression; Data compression; Transform coding; Pipeline transport; Demosaicing; Image processing; Color image; Bayer filter; Computer graphics (images); Color gel; Image (mathematics); Engineering; Discrete cosine transform","authors":[{"name":"Konstantinos N. Plataniotis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01222603109132998,"gpt":0.2521196225492911,"spread":0.2398935914579611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002122176,0.0004575468,0.0005004592,0.0006687189,0.000210572,0.0004889146,0.0007381327,0.0004794524,0.004101875],"category_scores_gemma":[0.0007220206,0.0001218688,0.0002970848,0.000712809,0.0001744745,0.0006628762,0.0003831438,0.0003413749,0.001460202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355918,"about_ca_system_score_gemma":0.0002999099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004423169,"about_ca_topic_score_gemma":0.0007375923,"domain_scores_codex":[0.9996442,0.00001581733,0.0000145926,0.00006633597,0.0002287782,0.00003028492],"domain_scores_gemma":[0.9997376,0.0000527929,0.00002342682,0.00004683387,0.0001256537,0.00001366172],"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":[0.000251217,0.0001143143,0.0007060807,0.000463424,0.00003495821,0.000369123,0.00008051964,0.009993389,0.3018237,0.003878407,0.004451964,0.6778327],"study_design_scores_gemma":[0.00007492007,0.0008234573,0.006392438,0.0001125384,0.00006748104,0.004320354,0.0001016531,0.259847,0.6815524,0.002940534,0.04368088,0.00008639751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09624926,0.00311431,0.8801932,0.0002052659,0.0003733954,0.0005037481,0.0003993059,0.002017977,0.0169435],"genre_scores_gemma":[0.4503132,0.003371482,0.5268088,0.0002279871,0.0002796255,0.0002469953,0.0009830727,0.000163646,0.0176052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004101875,"threshold_uncertainty_score":0.01372212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387885598","doi":"10.1109/tce.2023.3325131","title":"3-D Trajectory Optimization and Communication Resources Allocation in UAV-Assisted IoT Networks for Sustainable Industry 5.0","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"UAV Applications and Optimization","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":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Trajectory; Computer science; Trajectory optimization; Resource allocation; Internet of Things; Computer network; Embedded system","authors":[{"name":"Pengfei Du","is_ca":false},{"name":"Yueqiang Shi","is_ca":false},{"name":"Haotong Cao","is_ca":false},{"name":"Sahil Garg","is_ca":true},{"name":"Georges Kaddoum","is_ca":true},{"name":"Mubarak Alrashoud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009738123381457261,"gpt":0.224149354919181,"spread":0.2144112315377238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003374469,0.0005362754,0.0004570769,0.0002266504,0.0003496901,0.0004836642,0.0004456403,0.0005489874,0.0006978362],"category_scores_gemma":[0.0007012158,0.0002520259,0.0004669553,0.0003668526,0.0003834387,0.000445712,0.0005830392,0.0004907395,0.0001102646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006638381,"about_ca_system_score_gemma":0.0009803842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007605361,"about_ca_topic_score_gemma":0.004916871,"domain_scores_codex":[0.9998634,0.00004342373,0.000005904824,0.0000240001,0.00003751032,0.00002561404],"domain_scores_gemma":[0.9997882,0.0001054606,0.00003598245,0.00001621411,0.00003611122,0.00001796137],"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":[0.00001335437,0.000005319183,0.0002261035,0.00001142362,0.000005129116,0.00002141806,0.00001457399,0.9922966,0.0007788921,0.001825998,0.0001588588,0.004642278],"study_design_scores_gemma":[0.000001379784,0.000006102872,0.00004094273,0.000001070083,0.000001058222,0.000004792635,0.000005092711,0.9991936,0.0001448238,0.0004720598,0.0001276862,0.000001321021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06067746,0.0004834346,0.9332121,0.0002410588,0.00004191843,0.00003907641,0.00005808232,0.0001831956,0.005063782],"genre_scores_gemma":[0.850083,0.0004853181,0.1466743,0.00008735246,0.00001664546,0.0001315718,0.0001345597,0.00003953313,0.002347743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007605361,"threshold_uncertainty_score":0.01512223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168400713","doi":"10.1109/tce.2010.5505947","title":"An Efficient Receiver Structure for Robust Data Transmission using TxID Signal in the ATSC DTV System","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","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; Western University","funders":"","keywords":"Repeater (horology); Transmitter; Digital television; Single-frequency network; Electronic engineering; Computer science; Transmission (telecommunications); Data transmission; SIGNAL (programming language); Digital terrestrial television; Interference (communication); Carrier-to-noise ratio; Telecommunications; Engineering; Signal-to-noise ratio (imaging); Computer hardware; Channel (broadcasting); Encoding (memory)","authors":[{"name":"Sung-Ik Park","is_ca":false},{"name":"Heung Mook Kim","is_ca":false},{"name":"Xianbin Wang","is_ca":true},{"name":"Yiyan Wu","is_ca":true},{"name":"Wangrok Oh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03460398992497761,"gpt":0.265706991759389,"spread":0.2311030018344114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005925648,0.0004334148,0.0004992081,0.0004139247,0.0003051379,0.0005327579,0.0008034601,0.0006937922,0.0007294512],"category_scores_gemma":[0.0009719687,0.0002415679,0.0002247787,0.0003493115,0.0003401604,0.0007082421,0.0003993878,0.0006073392,0.0004525054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00042028,"about_ca_system_score_gemma":0.0004510027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000386798,"about_ca_topic_score_gemma":0.0004296713,"domain_scores_codex":[0.9993548,0.0001697612,0.00004410795,0.0001201994,0.0002667308,0.00004442821],"domain_scores_gemma":[0.9993974,0.0001227479,0.0001553155,0.0001020891,0.0002011055,0.0000212856],"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":[0.0004499676,0.00009124084,0.001640922,0.0002342187,0.00004988793,0.0001360408,0.0002345462,0.01125037,0.8744941,0.009042079,0.0006529341,0.1017237],"study_design_scores_gemma":[0.0001285561,0.001705783,0.002704442,0.00004916242,0.0001318737,0.00107133,0.00007932349,0.3163199,0.6683494,0.001189673,0.008196534,0.00007403669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1293443,0.0005692686,0.867185,0.0001712744,0.00005231277,0.00008887025,0.00004453561,0.000550855,0.001993491],"genre_scores_gemma":[0.6555773,0.0002763887,0.3416848,0.0001308336,0.00008519993,0.00008580088,0.0001111272,0.00003220692,0.002016205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008034601,"threshold_uncertainty_score":0.003133774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152750967","doi":"10.1109/tce.2010.5606252","title":"Miniaturized yagi class of antennas for GSM, WLAN, and WiMax applications","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Antenna Design and Analysis","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":"University of Alberta","funders":"","keywords":"WiMAX; Antenna measurement; Omnidirectional antenna; Antenna (radio); Radiation pattern; GSM; Return loss; Dipole antenna; Electronic engineering; Directional antenna; Electrical engineering; Antenna efficiency; Physics; Computer science; Telecommunications; Engineering; Wireless","authors":[{"name":"Gary Chen","is_ca":true},{"name":"Kevin Chan","is_ca":true},{"name":"Karumudi Rambabu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007004899110646019,"gpt":0.2191669633160933,"spread":0.2121620642054473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001606716,0.000604305,0.0004672901,0.000353611,0.0001533537,0.0005569628,0.0006490704,0.0007558845,0.00215029],"category_scores_gemma":[0.0003263872,0.0003196704,0.0004396505,0.000491478,0.0001963393,0.0005281873,0.0002916844,0.0007554405,0.002464764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693571,"about_ca_system_score_gemma":0.0001409785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008592237,"about_ca_topic_score_gemma":0.0002258279,"domain_scores_codex":[0.9998431,0.00003493715,0.000006364677,0.00002964071,0.00006006302,0.00002586325],"domain_scores_gemma":[0.9997782,0.00004333353,0.00004511805,0.00004167909,0.00007270599,0.00001887765],"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":[0.0004078675,0.00008752586,0.002050029,0.0003821839,0.0001432093,0.0004757444,0.0001078144,0.00909997,0.7414389,0.01287365,0.01280905,0.220124],"study_design_scores_gemma":[0.0001162637,0.003144492,0.01199924,0.0001054241,0.0003019859,0.009897235,0.0002205522,0.06653681,0.6212021,0.005274919,0.2809864,0.0002146376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1244907,0.0041529,0.843312,0.0006133376,0.0006655684,0.0001123502,0.0003047428,0.001833805,0.02451465],"genre_scores_gemma":[0.5473343,0.004611515,0.4038175,0.00083972,0.0004819387,0.0003822974,0.0009474911,0.0002096084,0.04137565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00215029,"threshold_uncertainty_score":0.007193446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388145408","doi":"10.1109/tce.2023.3329390","title":"An Efficient Routing Algorithm for Self-Organizing Networks in 5G-Based Intelligent Transportation Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Vehicular Ad Hoc Networks (VANETs)","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":"Royal Military College of Canada","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Mobile ad hoc network; Distributed computing; Routing protocol; Vehicular ad hoc network; Network packet; Wireless; Telecommunications","authors":[{"name":"Vũ Khánh Quý","is_ca":false},{"name":"Abdellah Chehri","is_ca":true},{"name":"Nguyễn Minh Quý","is_ca":false},{"name":"Van-Hau Nguyen","is_ca":false},{"name":"Nguyễn Tiến Ban","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008659553187951034,"gpt":0.2254165586239146,"spread":0.2167570054359635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000523471,0.0005938352,0.0005966125,0.0008147357,0.0007832196,0.0007281635,0.001038877,0.0006861694,0.001325346],"category_scores_gemma":[0.001113565,0.0002321267,0.0003998636,0.0007872068,0.0003736787,0.0009852523,0.0005024504,0.0004055436,0.0003254969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509563,"about_ca_system_score_gemma":0.0008280603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297253,"about_ca_topic_score_gemma":0.00432141,"domain_scores_codex":[0.9997486,0.00008813431,0.00001888102,0.00004955716,0.0000671752,0.00002760356],"domain_scores_gemma":[0.9997354,0.0001000482,0.00004045355,0.00002234893,0.00008897072,0.00001279582],"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":[0.00005649744,0.00003886309,0.000579944,0.00008316148,0.00003935887,0.00008149818,0.00008029077,0.8512785,0.002797709,0.01686412,0.002845421,0.1252546],"study_design_scores_gemma":[0.000007903077,0.00002600836,0.00006746005,0.000004492649,0.000007327919,0.00003157534,0.00001573763,0.9955755,0.0004183924,0.002441704,0.001398679,0.000005162271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01549314,0.0005644156,0.9801043,0.0002245189,0.0001058331,0.0001196192,0.00003971272,0.0003565436,0.002991855],"genre_scores_gemma":[0.5095792,0.0008735086,0.484587,0.0001504072,0.00008521133,0.0003215505,0.0002458628,0.00006913594,0.004088043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00297253,"threshold_uncertainty_score":0.005910456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2275579731","doi":"10.1109/tce.2015.7389796","title":"Gesture recognition using Markov Systems and wearable wireless inertial sensors","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Hand Gesture Recognition Systems","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":"Carleton University","funders":"","keywords":"Hidden Markov model; Gesture; Computer science; Gesture recognition; Wearable computer; Markov chain; Context (archaeology); Artificial intelligence; Inertial measurement unit; Wireless; Markov model; Computer vision; Markov process; Speech recognition; Pattern recognition (psychology); Machine learning; Embedded system; Mathematics","authors":[{"name":"Dennis Arsenault","is_ca":true},{"name":"Anthony Whitehead","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03826790268156793,"gpt":0.2547362436911369,"spread":0.216468341009569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289234,0.0004589575,0.0005124339,0.0006628146,0.0003215451,0.0006234575,0.0003813134,0.0004622965,0.002031705],"category_scores_gemma":[0.002235186,0.0003593774,0.0005446603,0.0006712785,0.0004563285,0.001111702,0.0005321347,0.0004858685,0.0006433811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005834213,"about_ca_system_score_gemma":0.0005482161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007936654,"about_ca_topic_score_gemma":0.007725852,"domain_scores_codex":[0.9993788,0.0001717869,0.00004612083,0.0001424214,0.0002139636,0.0000469187],"domain_scores_gemma":[0.9992106,0.0004656855,0.0001021812,0.00007290113,0.0001255802,0.00002308708],"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":[0.000409919,0.0001401728,0.007706343,0.0003126009,0.0001827528,0.0002844566,0.0002259222,0.3660108,0.05164599,0.02337742,0.001988568,0.5477151],"study_design_scores_gemma":[0.00001141033,0.0001211801,0.003119,0.00002148488,0.00002340301,0.0001204535,0.00002524127,0.9827772,0.007805292,0.004537849,0.0014079,0.00002964286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04417798,0.001009842,0.951476,0.0001441481,0.00006366705,0.00005629807,0.00007661709,0.000756734,0.002238864],"genre_scores_gemma":[0.7471491,0.001288719,0.2467223,0.0001044754,0.00007139074,0.0001072686,0.0002807904,0.00005134452,0.004224579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007936654,"threshold_uncertainty_score":0.01578093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991711416","doi":"10.1109/tce.2012.6311332","title":"Three dimensional touchless tracking of objects using integrated capacitive sensors","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Capacitive sensing; Robustness (evolution); Capacitance; Computer science; Tracking (education); Electronic engineering; Electronics; Noise (video); Tracking system; Engineering; Electrical engineering; Artificial intelligence; Electrode; Kalman filter","authors":[{"name":"Fatemeh Aezinia","is_ca":true},{"name":"Yifan Wang","is_ca":true},{"name":"Behraad Bahreyni","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0565093063431666,"gpt":0.2923114271925459,"spread":0.2358021208493793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776232,0.000377443,0.0003429356,0.000390132,0.0002441101,0.0007233628,0.001104532,0.0007597072,0.0006390532],"category_scores_gemma":[0.0006576577,0.0003132853,0.0003046354,0.0004470409,0.0002703644,0.001089282,0.0006391554,0.0002438521,0.0002575277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306461,"about_ca_system_score_gemma":0.0002098859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004742678,"about_ca_topic_score_gemma":0.0008519694,"domain_scores_codex":[0.9996423,0.00002774268,0.00002001938,0.0001113148,0.0001783285,0.00002041946],"domain_scores_gemma":[0.9997011,0.00008223613,0.00005917149,0.00004794678,0.00008317917,0.00002630187],"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":[0.0001643689,0.00004803337,0.001100065,0.0001867885,0.00003752502,0.0002964556,0.0001396763,0.005422711,0.892556,0.002000054,0.000400626,0.09764761],"study_design_scores_gemma":[0.00006597803,0.001135359,0.007463451,0.00005572591,0.0001368073,0.002470671,0.0001113919,0.2717184,0.7013206,0.001887053,0.01341322,0.0002212865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1591311,0.001977293,0.8338159,0.0001614859,0.0002519916,0.00006754133,0.0001123042,0.001139995,0.00334234],"genre_scores_gemma":[0.7415228,0.001116264,0.2537999,0.0002188112,0.00006497171,0.0000664547,0.0001017813,0.00002911603,0.00307985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001104532,"threshold_uncertainty_score":0.00213784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108090429","doi":"10.1109/tce.2002.1037027","title":"Robust transmission of JPEG2000 images over noisy channels","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":23,"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; JPEG 2000; Decoding methods; Channel (broadcasting); Bitstream; Image quality; Transmission (telecommunications); Image compression; Code (set theory); Convolutional code; Artificial intelligence; Image (mathematics); Computer vision; Algorithm; Image processing; Computer network; Telecommunications","authors":[{"name":"Victor Sanchez","is_ca":true},{"name":"Mrinal Mandal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02356890204198574,"gpt":0.2504495632778184,"spread":0.2268806612358326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003991547,0.0004037905,0.0004172412,0.0002939274,0.0002284882,0.0004331731,0.0004186462,0.0005664164,0.000482092],"category_scores_gemma":[0.00185685,0.0001720967,0.000248424,0.0002440796,0.0003869341,0.0005869201,0.0004287913,0.0004638874,0.0002507809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063591,"about_ca_system_score_gemma":0.0002607875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004222538,"about_ca_topic_score_gemma":0.0003949877,"domain_scores_codex":[0.9996667,0.00005485724,0.00001768566,0.00004679671,0.0001828735,0.0000311481],"domain_scores_gemma":[0.9993441,0.0002308388,0.000175311,0.0001152781,0.0001153067,0.00001914441],"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":[0.0008374945,0.00006128517,0.001298037,0.0004400727,0.0001033675,0.0007249566,0.0001969751,0.07768448,0.6679258,0.009938586,0.001493697,0.2392953],"study_design_scores_gemma":[0.00005101443,0.0004386328,0.002222896,0.00005208046,0.0001125693,0.001741726,0.00004417989,0.5305685,0.4574901,0.002666093,0.00455353,0.00005874162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.168121,0.001767679,0.8269193,0.0002213106,0.0001046988,0.0000533784,0.0001266981,0.0006206071,0.002065385],"genre_scores_gemma":[0.8678524,0.001220129,0.1278464,0.00008226767,0.0001151586,0.00004988116,0.0002010136,0.00005964144,0.002572941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005664164,"threshold_uncertainty_score":0.002110958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394994926","doi":"10.1109/tce.2024.3391667","title":"Smart Contract-Based Access Control Scheme for Blockchain Assisted 6G-Enabled IoT-Based Big Data Driven Healthcare Cyber Physical Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"National Research Foundation of Korea; Ministry of Education","keywords":"Blockchain; Big data; Internet of Things; Computer science; Computer security; Cyber-physical system; Scheme (mathematics); Smart contract; Health care; Access control; Computer network; Operating system","authors":[{"name":"Sourav Saha","is_ca":false},{"name":"Ashok Kumar Das","is_ca":false},{"name":"Mohammad Wazid","is_ca":false},{"name":"Youngho Park","is_ca":false},{"name":"Sahil Garg","is_ca":true},{"name":"Mubarak Alrashoud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04052761457710875,"gpt":0.3030231411239184,"spread":0.2624955265468097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002083688,0.0005280375,0.0009577478,0.0006447847,0.001417917,0.001612841,0.002012641,0.00126801,0.005005214],"category_scores_gemma":[0.004899105,0.0002200576,0.0004500296,0.0008340887,0.001446835,0.002653066,0.002459496,0.001117099,0.0006138369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286438,"about_ca_system_score_gemma":0.002696547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002571387,"about_ca_topic_score_gemma":0.002675968,"domain_scores_codex":[0.9968611,0.00090805,0.0002639959,0.0005179111,0.0009101229,0.000538764],"domain_scores_gemma":[0.9958027,0.001320287,0.000609364,0.0007426819,0.001030684,0.0004943567],"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":[0.003238452,0.0006724026,0.006732268,0.0005961769,0.0002463674,0.002111042,0.001523279,0.3983788,0.04859581,0.2537745,0.0133034,0.2708275],"study_design_scores_gemma":[0.0001460753,0.0002829387,0.0003558306,0.00002943151,0.00002917558,0.0003699728,0.0000907924,0.9581884,0.005849723,0.0301676,0.004446038,0.0000439976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1532153,0.0008711217,0.8300915,0.001442787,0.000359731,0.0006954023,0.0004099458,0.001154597,0.0117595],"genre_scores_gemma":[0.985735,0.0001334884,0.01179123,0.0001031498,0.00003457299,0.0001045847,0.00008726682,0.0000109818,0.001999767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005005214,"threshold_uncertainty_score":0.01674408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140895162","doi":"10.1109/tce.2005.1468018","title":"Fast video demosaicking solution for mobile phone imaging applications","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":21,"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":"Computer science; Artificial intelligence; Mobile phone; Computer vision; Demosaicing; Video processing; Video capture; Image processing; Image (mathematics); Color image; Telecommunications","authors":[{"name":"Konstantinos N. Plataniotis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01302593188500966,"gpt":0.2777852023029738,"spread":0.2647592704179641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002466029,0.0005741518,0.0003639943,0.0004360405,0.0002166545,0.0004027462,0.0005021218,0.0007022688,0.002874677],"category_scores_gemma":[0.0007251968,0.0002610511,0.0003446353,0.0003644137,0.0002014889,0.0005692624,0.0003798297,0.000557757,0.001695983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326121,"about_ca_system_score_gemma":0.0003431212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006708535,"about_ca_topic_score_gemma":0.001517332,"domain_scores_codex":[0.9998498,0.00003149297,0.000008262458,0.00002364956,0.00007359124,0.00001321557],"domain_scores_gemma":[0.9997578,0.00007297953,0.0000198102,0.00003878576,0.00009813083,0.0000125513],"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":[0.0002155657,0.00003814278,0.0003650297,0.0002259005,0.0000397171,0.0003038082,0.00009175309,0.0265361,0.4697758,0.009635901,0.0044922,0.4882801],"study_design_scores_gemma":[0.0000688017,0.0003656001,0.001539294,0.00006323776,0.00005756299,0.001703805,0.000107737,0.5812529,0.3585767,0.009396501,0.04678876,0.00007918769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004061767,0.0002109202,0.9944597,0.00006343587,0.00004706795,0.00002357231,0.00002938305,0.0002525573,0.0008514703],"genre_scores_gemma":[0.04673357,0.0005475093,0.9492573,0.00008954584,0.00004968714,0.00004491711,0.000127373,0.00006729289,0.003082832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002874677,"threshold_uncertainty_score":0.009616733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387146024","doi":"10.1109/tce.2023.3320632","title":"Single-Phase 15-Level Inverters for Uninterruptible Power Supply Applications: Fault-Tolerant Strategies","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Uninterruptible power supply; Fault tolerance; Inverter; Voltage; Power (physics); Waveform; Reliability (semiconductor); Electronic engineering; Topology (electrical circuits); Economic shortage; Fault (geology); Electrical engineering; Computer science; Insulated-gate bipolar transistor; Realization (probability); Engineering; Reliability engineering; Mathematics","authors":[{"name":"Tohid Rahimi","is_ca":true},{"name":"Mehdi Abedinpour Fallah","is_ca":false},{"name":"Ehsan Pashajavid","is_ca":false},{"name":"Josep Pou","is_ca":false},{"name":"Ali Arefi","is_ca":false},{"name":"K. H. Loo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03664356744400771,"gpt":0.276740725464432,"spread":0.2400971580204243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001484909,0.0003408848,0.0003449921,0.0003912389,0.0003113645,0.0005432102,0.0008571644,0.0003657938,0.003030939],"category_scores_gemma":[0.0001941922,0.0001010611,0.0002880973,0.0004514341,0.0002015584,0.0006631176,0.0002791455,0.0003459073,0.0006744096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447267,"about_ca_system_score_gemma":0.000240051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000287617,"about_ca_topic_score_gemma":0.00067442,"domain_scores_codex":[0.999862,0.00001438902,0.00001858303,0.00002693392,0.00005724986,0.00002084224],"domain_scores_gemma":[0.999876,0.00001441139,0.00004260863,0.00001803107,0.00003925796,0.000009777962],"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":[0.0004242628,0.0002165493,0.002157184,0.001146665,0.00008619462,0.0003561456,0.0004135618,0.02205018,0.3922892,0.03111225,0.002597602,0.5471503],"study_design_scores_gemma":[0.0001697518,0.003025748,0.00549852,0.0002396588,0.0002522316,0.002252229,0.000320158,0.3877571,0.5072881,0.02587162,0.06724942,0.00007545936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2082841,0.001945816,0.7720098,0.0002550849,0.0001732705,0.0001601971,0.0002422979,0.0009625773,0.01596686],"genre_scores_gemma":[0.9461485,0.000619336,0.0501863,0.00006661062,0.000031654,0.00004880052,0.0001458755,0.00002546747,0.002727495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003030939,"threshold_uncertainty_score":0.01013947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081721156","doi":"10.1109/tce.2014.7027350","title":"Voice activity detection system for smart earphones","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Headphones; Estimator; Benchmark (surveying); Speech recognition; Voice activity detection; Noise (video); Energy (signal processing); Digital signal processor; Reliability (semiconductor); Signal-to-noise ratio (imaging); Background noise; Digital signal processing; Real-time computing; Artificial intelligence; Speech processing; Engineering; Power (physics); Mathematics; Computer hardware; Telecommunications; Statistics","authors":[{"name":"Narimene Lezzoum","is_ca":true},{"name":"Ghyslain Gagnon","is_ca":true},{"name":"Jérémie Voix","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01080148346390768,"gpt":0.2297724087825924,"spread":0.2189709253186847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003470017,0.0004836858,0.0004789212,0.0005747949,0.0001939517,0.0005985244,0.0009108937,0.0006843692,0.005446363],"category_scores_gemma":[0.0009536853,0.000202237,0.0002894353,0.0002515034,0.0001110288,0.000609863,0.0004819797,0.0002835074,0.002470135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003555598,"about_ca_system_score_gemma":0.0002908181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007722725,"about_ca_topic_score_gemma":0.000879476,"domain_scores_codex":[0.999523,0.00006720341,0.00003835553,0.0001103901,0.0002268064,0.0000342176],"domain_scores_gemma":[0.9996611,0.00009681878,0.00003255424,0.00003592216,0.0001517902,0.0000218144],"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":[0.0007655168,0.0001239521,0.004044481,0.0003037763,0.0001157525,0.0003381094,0.0001100128,0.006160638,0.2610293,0.001889943,0.006863681,0.7182548],"study_design_scores_gemma":[0.0003418981,0.001744068,0.01581922,0.000110481,0.0002790045,0.003527328,0.0001161355,0.5678093,0.3473555,0.002008218,0.06073088,0.0001579848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04777001,0.000994903,0.932294,0.0001834591,0.0003138317,0.0002984111,0.0004126522,0.01220562,0.005527031],"genre_scores_gemma":[0.5453889,0.0005405076,0.4405028,0.000625776,0.0001658458,0.000399263,0.0009610179,0.0001905854,0.01122524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005446363,"threshold_uncertainty_score":0.01821995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399800950","doi":"10.1109/tce.2024.3416432","title":"Optimizing Cell Association and Stability in Integrated Aerial-to-Ground Next-Generation Consumer Wireless Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":20,"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":"Deanship of Scientific Research, King Saud University; Institute for Information and Communications Technology Promotion","keywords":"Wireless; Computer science; Association (psychology); Stability (learning theory); Telecommunications","authors":[{"name":"Ishtiaq Ahmad","is_ca":false},{"name":"Ramsha Narmeen","is_ca":false},{"name":"Umair Ahmad Mughal","is_ca":false},{"name":"Yazeed Alkhrijah","is_ca":false},{"name":"Mohamad A. Alawad","is_ca":false},{"name":"Ahmad Almadhor","is_ca":false},{"name":"Sami Dhahbi","is_ca":false},{"name":"Pin‐Han Ho","is_ca":true},{"name":"Mehdi Bennis","is_ca":false},{"name":"KyungHi Chang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01463279751815804,"gpt":0.2165605777321014,"spread":0.2019277802139433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007697484,0.0004669865,0.0004227208,0.0002238473,0.0003562726,0.0006411896,0.0007217529,0.0004764902,0.0006539072],"category_scores_gemma":[0.002517203,0.0002866348,0.0001669733,0.0003430885,0.0005254679,0.0005402888,0.0006996048,0.0004368119,0.0001055277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066235,"about_ca_system_score_gemma":0.001274786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00748674,"about_ca_topic_score_gemma":0.006356953,"domain_scores_codex":[0.9996445,0.0001142788,0.00001006847,0.00006007497,0.000072679,0.00009846757],"domain_scores_gemma":[0.9991884,0.0004723597,0.0001271419,0.00002787604,0.0001298621,0.00005450852],"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":[0.00004307384,0.000021796,0.0005631556,0.000009951128,0.000008721106,0.00002798096,0.00002374736,0.9877707,0.001899182,0.002519925,0.0001846581,0.006927111],"study_design_scores_gemma":[0.000003265111,0.00001667009,0.00009729956,0.000001028783,0.000002933818,0.000004560449,0.00000844307,0.9987388,0.0003868378,0.0006728207,0.0000659674,0.000001507374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2732714,0.0003275252,0.7230986,0.0002620122,0.00002836327,0.00005045172,0.00004197379,0.0001278104,0.002791832],"genre_scores_gemma":[0.974741,0.000143411,0.02378909,0.00004680618,0.00001188676,0.00003283659,0.00002461322,0.00001764481,0.001192895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00748674,"threshold_uncertainty_score":0.01488632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392207736","doi":"10.1109/tce.2024.3370052","title":"Softwarized Resource Allocation in Digital Twins-Empowered Networks for Future Quantum-Enabled Consumer Applications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Resource allocation; Resource management (computing); Computer network; Telecommunications","authors":[{"name":"Haotong Cao","is_ca":false},{"name":"Sahil Garg","is_ca":true},{"name":"Shahid Mumtaz","is_ca":false},{"name":"Mubarak Alrashoud","is_ca":false},{"name":"Longxiang Yang","is_ca":false},{"name":"Georges Kaddoum","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009612829260361532,"gpt":0.2388304203219546,"spread":0.2292175910615931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056823,0.0004221864,0.0004063821,0.0003243298,0.0007353874,0.001049252,0.0009014519,0.0004967407,0.003238356],"category_scores_gemma":[0.001006428,0.0002103732,0.0003155488,0.0004333819,0.000552898,0.001773205,0.001144092,0.0007968458,0.0002470135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092577,"about_ca_system_score_gemma":0.001023664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606696,"about_ca_topic_score_gemma":0.004061875,"domain_scores_codex":[0.9997247,0.00007625002,0.00001279235,0.00006180553,0.00006360134,0.00006089725],"domain_scores_gemma":[0.9997651,0.0000838593,0.00002818961,0.00004994086,0.00003957548,0.00003333438],"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":[0.0001960095,0.00009743744,0.001303108,0.0001515761,0.00003968546,0.0002862107,0.0002798612,0.6533849,0.01774004,0.1992554,0.004584156,0.1226816],"study_design_scores_gemma":[0.000008036326,0.00002337976,0.0001139895,0.000006259783,0.000007115636,0.00004097825,0.00006007166,0.9676819,0.002335189,0.02760379,0.002110055,0.000009184479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07714733,0.0003374009,0.9119793,0.0003414149,0.00006801579,0.000099994,0.00007516581,0.0003880958,0.009563435],"genre_scores_gemma":[0.7986568,0.0002802538,0.1966292,0.0001338333,0.00002402757,0.0001141171,0.0001028675,0.00007177734,0.00398714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003238356,"threshold_uncertainty_score":0.01083338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396605314","doi":"10.1109/tce.2024.3396723","title":"A Federated Unlearning-Based Secure Management Scheme to Enable Automation in Smart Consumer Electronics Facilitated by Digital Twin","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":17,"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":"Electronics; Scheme (mathematics); Automation; Computer science; Smart card; Embedded system; Engineering; Computer security; Electrical engineering","authors":[{"name":"Anik Islam","is_ca":true},{"name":"Hadis Karimipour","is_ca":true},{"name":"Thippa Reddy Gadekallu","is_ca":false},{"name":"Yaodong Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006186399604651391,"gpt":0.229750641073692,"spread":0.2235642414690406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001602672,0.0003568073,0.0006508494,0.0006564533,0.001038658,0.001380265,0.00175866,0.0009130664,0.003872817],"category_scores_gemma":[0.002860223,0.0001859467,0.0003860715,0.000804966,0.001259634,0.003610983,0.002555537,0.0009920814,0.0009354366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009985784,"about_ca_system_score_gemma":0.001314997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000995094,"about_ca_topic_score_gemma":0.0008612794,"domain_scores_codex":[0.9982413,0.0004205593,0.0001764036,0.0004159701,0.000464831,0.0002810489],"domain_scores_gemma":[0.9978881,0.0003364286,0.000247311,0.0009617241,0.0004004367,0.0001659204],"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":[0.002532873,0.000805366,0.003868968,0.0002618588,0.0001057717,0.001060093,0.0009087788,0.123824,0.05377516,0.1935829,0.01054177,0.6087325],"study_design_scores_gemma":[0.0000996774,0.0004519609,0.0006475573,0.00004973474,0.00004790146,0.000597814,0.0001019407,0.8904768,0.04686482,0.04943645,0.01116173,0.00006365558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082745,0.0002921148,0.8788109,0.0005793039,0.0001560402,0.0002414052,0.000130986,0.003313675,0.008201059],"genre_scores_gemma":[0.9408067,0.00007394602,0.05398704,0.000184972,0.00002580479,0.00008295908,0.00008924927,0.00003802953,0.004711337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003872817,"threshold_uncertainty_score":0.01295584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402509761","doi":"10.1109/tce.2024.3460469","title":"Co-Training-Based Personalized Federated Learning With Generative Adversarial Networks for Enhanced Mobile Smart Healthcare Diagnosis","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Adversarial system; Training (meteorology); Computer science; Health care; Artificial intelligence; Generative grammar; Multimedia; Machine learning","authors":[{"name":"K. S. Arikumar","is_ca":false},{"name":"Sahaya Beni Prathiba","is_ca":false},{"name":"Deepak Kumar A","is_ca":false},{"name":"R. Dhanalakshmi","is_ca":false},{"name":"Thippa Reddy Gadekallu","is_ca":false},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02690363512240944,"gpt":0.2946730396083735,"spread":0.267769404485964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853277,0.0008074424,0.000836883,0.0004125047,0.0002925615,0.0006149207,0.00116021,0.001101519,0.001179594],"category_scores_gemma":[0.004324651,0.0003615416,0.0006773127,0.0003537255,0.0007758596,0.001129782,0.001796026,0.001946692,0.000376814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006780479,"about_ca_system_score_gemma":0.0006422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331731,"about_ca_topic_score_gemma":0.00305581,"domain_scores_codex":[0.9988744,0.000515815,0.00003902087,0.000270621,0.0001869666,0.0001131838],"domain_scores_gemma":[0.9982121,0.001211012,0.0001062274,0.0002627496,0.0001396367,0.00006830246],"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":[0.000332014,0.0001702384,0.003623598,0.000067803,0.0001143596,0.0002555613,0.0001431,0.8615704,0.005506022,0.005254372,0.004079261,0.1188833],"study_design_scores_gemma":[0.000005704191,0.00002249664,0.0001392371,0.000004192875,0.000006610367,0.00003595326,0.000006874887,0.9955269,0.001193107,0.002764221,0.0002901778,0.000004428866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04312935,0.0006544134,0.9517615,0.0008782782,0.00007696492,0.00005371173,0.0002025075,0.001620487,0.001622683],"genre_scores_gemma":[0.9119081,0.0002274843,0.08373686,0.0009068609,0.00007036114,0.00009477912,0.000610121,0.000104528,0.002340914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002331731,"threshold_uncertainty_score":0.009801149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400526139","doi":"10.1109/tce.2024.3426483","title":"GCN-Based Multi-Agent Deep Reinforcement Learning for Dynamic Service Function Chain Deployment in IoT","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Software deployment; Chain (unit); Function (biology); Internet of Things; Service (business); Computer network; Distributed computing; Artificial intelligence; Computer security; Software engineering; Business","authors":[{"name":"Haotong Cao","is_ca":false},{"name":"Longxiang Yang","is_ca":false},{"name":"Sahil Garg","is_ca":true},{"name":"Georges Kaddoum","is_ca":true},{"name":"Mubarak Alrashoud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01685641336921461,"gpt":0.2587572105760929,"spread":0.2419007972068783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008204631,0.0007075911,0.0007585984,0.000362731,0.0003335871,0.0004997699,0.001019985,0.000753978,0.001374259],"category_scores_gemma":[0.001760362,0.0003387304,0.0003694443,0.0003481459,0.0006390166,0.0007139814,0.0007726692,0.001161486,0.0001466372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180861,"about_ca_system_score_gemma":0.001269857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209088,"about_ca_topic_score_gemma":0.01891571,"domain_scores_codex":[0.9997862,0.00005456934,0.000009618456,0.00004394381,0.0000450975,0.00006057477],"domain_scores_gemma":[0.9993957,0.0003255871,0.00007077469,0.00002813706,0.00012817,0.00005160004],"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":[0.00002789584,0.00002435584,0.0004921688,0.00001668898,0.00001543596,0.00002932445,0.00001571296,0.9849482,0.0004412486,0.001705411,0.0003748644,0.01190869],"study_design_scores_gemma":[0.000001502436,0.000003828297,0.00002035253,7.558081e-7,0.000001231821,0.000001648326,0.000001079157,0.9995897,0.00004147111,0.0003071899,0.00003036818,7.78764e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08925364,0.000748709,0.9033977,0.0004754711,0.0001120469,0.00006755793,0.00006475906,0.0007476395,0.005132488],"genre_scores_gemma":[0.9630142,0.0001396758,0.03449416,0.0001504701,0.00002009621,0.00005548153,0.00006434749,0.00004244479,0.002019101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0209088,"threshold_uncertainty_score":0.04157418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390956094","doi":"10.1109/tce.2024.3355064","title":"An Adaptive Rank-Based Tensor Ring Completion Model for Intelligent Transportation Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Fundamental Research Funds for the Central Universities; Sichuan Province Science and Technology Support Program; National Natural Science Foundation of China","keywords":"Tensor (intrinsic definition); Rank (graph theory); Computer science; Pruning; Kernel (algebra); Bayesian probability; Algorithm; Ring (chemistry); Bayesian inference; Artificial intelligence; Data mining; Mathematical optimization; Mathematics; Geometry","authors":[{"name":"Cheng Dai","is_ca":false},{"name":"Shoupeng Lu","is_ca":false},{"name":"Chao Ma","is_ca":false},{"name":"Sahil Garg","is_ca":true},{"name":"Mubarak Alrashoud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06601193932888896,"gpt":0.3320654461814597,"spread":0.2660535068525708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001502029,0.001041947,0.001072755,0.0006775864,0.000416424,0.001031148,0.001727432,0.001066074,0.002741934],"category_scores_gemma":[0.002893867,0.0004839335,0.001084492,0.0009514123,0.0009248229,0.002072637,0.001085998,0.001979667,0.001013304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008070059,"about_ca_system_score_gemma":0.001680791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008935784,"about_ca_topic_score_gemma":0.008208062,"domain_scores_codex":[0.9993092,0.0002132449,0.00003343539,0.0001761502,0.0001777914,0.00009021429],"domain_scores_gemma":[0.9991621,0.0002789253,0.0001271032,0.0001159548,0.0002476433,0.00006833735],"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":[0.0001140497,0.00005813214,0.0006000091,0.0001174055,0.00004321122,0.00007990326,0.0000744982,0.9073972,0.004107275,0.03173381,0.00323722,0.05243739],"study_design_scores_gemma":[0.000002129161,0.000009395336,0.00004129909,0.000001889904,0.000002591966,0.000007312938,0.000003419754,0.9970397,0.0002691545,0.002287357,0.0003309227,0.00000480496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003614017,0.0001296361,0.9953992,0.0001032008,0.00002110859,0.00001804477,0.0000904406,0.000171499,0.0004528629],"genre_scores_gemma":[0.4372215,0.0009592117,0.549049,0.0002436902,0.0001506988,0.0002557339,0.001402596,0.0002999211,0.01041766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008935784,"threshold_uncertainty_score":0.01776755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091775538","doi":"10.1109/tce.2020.3029955","title":"Mobile Match on Card Active Authentication Using Touchscreen Biometric","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Touchscreen; Computer science; Authentication (law); Mobile device; Login; Smart card; Biometrics; Overhead (engineering); Embedded system; Computer hardware; Computer security; Operating system","authors":[{"name":"Sepehr Keykhaie","is_ca":true},{"name":"Samuel Pierre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03578144127722082,"gpt":0.2735957283535536,"spread":0.2378142870763328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956761,0.0004738611,0.0005344027,0.0004724611,0.0002969879,0.0006174848,0.0006022482,0.0007145263,0.003512019],"category_scores_gemma":[0.001226652,0.0001647462,0.0004394622,0.0004051122,0.0003100247,0.001417576,0.0009548563,0.0004104978,0.001574057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315507,"about_ca_system_score_gemma":0.0003415696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409343,"about_ca_topic_score_gemma":0.001354603,"domain_scores_codex":[0.9993349,0.0001200564,0.00005288404,0.0001366129,0.0002777815,0.00007771879],"domain_scores_gemma":[0.9994932,0.00006716694,0.00007659798,0.0002080916,0.0001210123,0.00003377417],"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":[0.001886626,0.0002810589,0.009300072,0.0002850243,0.000162784,0.0007468824,0.0001921239,0.01862261,0.1807547,0.007221404,0.006245482,0.7743013],"study_design_scores_gemma":[0.00009791915,0.001167228,0.01573662,0.00008495784,0.0001375197,0.002833996,0.0001013169,0.7980261,0.1597657,0.004721913,0.01719736,0.0001292621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2232746,0.001246764,0.7557598,0.0003606322,0.0004380829,0.0003073104,0.0004165118,0.006465486,0.01173086],"genre_scores_gemma":[0.9550381,0.0002632785,0.03927,0.0001392374,0.0000304106,0.00003630841,0.0001752108,0.00002633507,0.005021157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003512019,"threshold_uncertainty_score":0.01174891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126311590","doi":"10.1109/tce.2006.1706497","title":"Design and performance evaluation of voice activated wireless home devices","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"IoT-based Smart Home Systems","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":"University of Calgary; Blackberry (Canada)","funders":"","keywords":"Computer science; Wireless; Controller (irrigation); Hidden Markov model; Architecture; Speech recognition; Telecommunications","authors":[{"name":"Xiaohua Zeng","is_ca":true},{"name":"Abraham O. Fapojuwo","is_ca":true},{"name":"R.J. Davies","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01389444377618639,"gpt":0.221181844634295,"spread":0.2072874008581086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000429981,0.0004105686,0.0003886168,0.0003786924,0.0001990736,0.0006349031,0.0008490588,0.0004725931,0.001861393],"category_scores_gemma":[0.001440246,0.0001955175,0.0001800047,0.0001842747,0.0001698917,0.0005492323,0.000289216,0.0003018047,0.0005668355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188952,"about_ca_system_score_gemma":0.0002098617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269648,"about_ca_topic_score_gemma":0.000280039,"domain_scores_codex":[0.9989967,0.0002411399,0.00006562309,0.0001274121,0.0004890193,0.0000802237],"domain_scores_gemma":[0.9991929,0.0002354681,0.00008814599,0.00008403316,0.0003525103,0.0000470207],"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":[0.00184574,0.0003220353,0.005378305,0.0006363317,0.0001522688,0.0008258315,0.0004077171,0.02677247,0.7223879,0.003069955,0.00212244,0.236079],"study_design_scores_gemma":[0.0002614742,0.005089835,0.009565026,0.00007405828,0.0002930877,0.001994102,0.0001778866,0.220837,0.7477694,0.0006684056,0.01319331,0.00007645842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5506632,0.001170344,0.4318119,0.0002387711,0.0001526558,0.0004898855,0.0002096879,0.003874008,0.01138943],"genre_scores_gemma":[0.9533914,0.0002555683,0.04117789,0.0001061481,0.00003282475,0.0001589047,0.0001341093,0.00009911394,0.004643988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001861393,"threshold_uncertainty_score":0.006226957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388240249","doi":"10.1109/tce.2023.3329675","title":"Ambient Backscatter Communication Symbiotic Intelligent Transportation Systems: Covertness Performance Analysis and Optimization","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Henan Provincial Science and Technology Research Project; National Natural Science Foundation of China","keywords":"Backscatter (email); Computer science; Remote sensing; Telecommunications; Electrical engineering; Engineering; Wireless; Geology","authors":[{"name":"Hongxing Peng","is_ca":false},{"name":"Musen Liu","is_ca":false},{"name":"Liang Yang","is_ca":false},{"name":"Ming Zeng","is_ca":true},{"name":"Ji Wang","is_ca":false},{"name":"Kefeng Guo","is_ca":false},{"name":"Xingwang Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0108199374678447,"gpt":0.2254835239832425,"spread":0.2146635865153978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000838473,0.00083834,0.000715617,0.0004156245,0.000312682,0.0008861388,0.000555144,0.0007559396,0.001017978],"category_scores_gemma":[0.002127231,0.000267557,0.0004697722,0.0006664752,0.0008190462,0.0009885922,0.0009205179,0.0004886306,0.0002067512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052658,"about_ca_system_score_gemma":0.0006309048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909846,"about_ca_topic_score_gemma":0.001065994,"domain_scores_codex":[0.9993729,0.0002155553,0.00001702621,0.00009421477,0.0001864522,0.0001138145],"domain_scores_gemma":[0.9989248,0.0005875285,0.0001663485,0.00007204638,0.0002152816,0.0000339935],"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":[0.00004711711,0.00002610667,0.0008600003,0.00005935368,0.00002962344,0.00008404021,0.00004231392,0.9721958,0.004380849,0.01020307,0.0003504582,0.01172125],"study_design_scores_gemma":[0.000001661441,0.00003108203,0.0001823786,0.000002727018,0.000007619051,0.00002673974,0.00001004963,0.9973657,0.0007036233,0.001526754,0.0001379229,0.000003848633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1530757,0.001709587,0.8323107,0.0004845918,0.00003786776,0.00004910642,0.00008161258,0.000168434,0.01208229],"genre_scores_gemma":[0.983576,0.0005255214,0.01413671,0.00004219259,0.0000216463,0.00003602768,0.00003346681,0.00001672872,0.001611596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001909846,"threshold_uncertainty_score":0.00763762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403447730","doi":"10.1109/tce.2024.3482092","title":"Interactive and Explainable Optimized Learning for DDoS Detection in Consumer IoT Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Denial-of-service attack; Internet of Things; Computer network; Artificial intelligence; Human–computer interaction; Embedded system; World Wide Web; The Internet","authors":[{"name":"Makhduma F. Saiyed","is_ca":true},{"name":"Irfan Al‐Anbagi","is_ca":true},{"name":"M. Shamim Hossain","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009004382271590346,"gpt":0.2419331600898188,"spread":0.2329287778182285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008830463,0.0005835256,0.0003564364,0.0004148934,0.0002443658,0.0005250248,0.0008340278,0.000532348,0.001438965],"category_scores_gemma":[0.003951201,0.0002383278,0.0003969814,0.0002623383,0.0002801533,0.001092523,0.0009132453,0.001030708,0.0001650233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008602234,"about_ca_system_score_gemma":0.0005857308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004839917,"about_ca_topic_score_gemma":0.00769639,"domain_scores_codex":[0.9997358,0.00009148246,0.00001599889,0.00006769144,0.00006226555,0.0000268606],"domain_scores_gemma":[0.9989221,0.0006906879,0.00008387406,0.0001302081,0.0001405,0.0000327102],"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":[0.0002710184,0.000219576,0.003863176,0.00007364083,0.00006275229,0.0001635536,0.0002166551,0.7064621,0.006274067,0.004157982,0.002253337,0.2759821],"study_design_scores_gemma":[0.000003922154,0.0000149468,0.0001336292,0.000001434337,0.000003135743,0.000005596227,0.000005521606,0.9971833,0.001013451,0.001463138,0.0001701601,0.000001745758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1562679,0.0002548042,0.8352277,0.0004109811,0.00002807138,0.00008894097,0.0001926464,0.005602927,0.001926105],"genre_scores_gemma":[0.8195944,0.0001255519,0.177836,0.0001701887,0.00001766779,0.00008835481,0.0004067634,0.0001171181,0.001643901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004839917,"threshold_uncertainty_score":0.009623528,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406322206","doi":"10.1109/tce.2025.3528929","title":"Hybrid Optimization for NOMA-Based Transmissive-RIS Mounted UAV Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University; École de Technologie Supérieure","funders":"","keywords":"Noma; Computer science; Electronic engineering; Engineering; Telecommunications; Telecommunications link","authors":[{"name":"Zain Ali","is_ca":false},{"name":"Muhammad Asif","is_ca":false},{"name":"Wali Ullah Khan","is_ca":false},{"name":"Abdelrahman Elfikky","is_ca":false},{"name":"Asim Ihsan","is_ca":false},{"name":"Manzoor Ahmed","is_ca":false},{"name":"Ali Ranjha","is_ca":true},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004613790875285589,"gpt":0.2189069065435436,"spread":0.214293115668258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009523064,0.001266913,0.001069674,0.0003829136,0.0003564046,0.0009964535,0.001113466,0.0009224935,0.001581895],"category_scores_gemma":[0.001361292,0.0004688418,0.0005536167,0.0004202009,0.0008503874,0.0007550216,0.001200719,0.001065824,0.0003181924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000940312,"about_ca_system_score_gemma":0.001012813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004727294,"about_ca_topic_score_gemma":0.004754191,"domain_scores_codex":[0.9995633,0.0001602092,0.0000138143,0.00008256881,0.00009061831,0.00008952799],"domain_scores_gemma":[0.9994935,0.0002923557,0.00006410045,0.00003093951,0.00008038679,0.00003868361],"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":[0.00001902302,0.00001221998,0.0001442266,0.00001485524,0.00001579914,0.00002507799,0.0000108037,0.9917461,0.0003826218,0.002558548,0.0002395997,0.004831107],"study_design_scores_gemma":[0.000001766894,0.00001008251,0.00002090504,0.000001330368,0.000001723275,0.000003091049,0.000002568341,0.999109,0.00006222307,0.0006998074,0.00008635235,0.00000119526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01871816,0.0004701409,0.97607,0.0001847423,0.00005152697,0.00002567424,0.00004452183,0.000185048,0.004250197],"genre_scores_gemma":[0.9263523,0.0002878571,0.06821579,0.0001745643,0.00005668707,0.000120176,0.0001043052,0.00007504733,0.004613463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004727294,"threshold_uncertainty_score":0.009399593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142111499","doi":"10.1109/tce.2009.5373782","title":"Efficient two step edge based partial distortion search for fast block motion estimation","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":12,"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":"Distortion (music); Motion estimation; Algorithm; Macroblock; Computation; Computer science; Search algorithm; Block (permutation group theory); Rate–distortion optimization; Rate–distortion theory; Computer vision; Mathematics; Data compression; Block-matching algorithm; Video processing; Decoding methods; Telecommunications; Bandwidth (computing); Video tracking","authors":[{"name":"Mohammed Golam Sarwer","is_ca":true},{"name":"Q. M. Jonathan Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01984658395553159,"gpt":0.2777054099953512,"spread":0.2578588260398196,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003182036,0.0004428783,0.0005546091,0.0006923612,0.0001980331,0.0003851319,0.0006653396,0.0003086013,0.001538252],"category_scores_gemma":[0.001003496,0.0002557035,0.0004076124,0.0006674607,0.0001666316,0.0007656133,0.0005161468,0.0003406631,0.0004098641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565689,"about_ca_system_score_gemma":0.0005985686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808451,"about_ca_topic_score_gemma":0.003795773,"domain_scores_codex":[0.9996871,0.00004356173,0.00002057777,0.0000364396,0.0001938117,0.00001855566],"domain_scores_gemma":[0.9997261,0.0001163946,0.00002881653,0.00003413908,0.00008246343,0.0000120438],"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":[0.0005167999,0.00007626681,0.001619036,0.0001710005,0.00008171325,0.00009150595,0.0001113937,0.1103192,0.07949311,0.007222071,0.001736268,0.7985617],"study_design_scores_gemma":[0.00002982173,0.00009241837,0.0005700419,0.000007100197,0.00001311198,0.0001502889,0.00001148316,0.9790443,0.017231,0.0008532841,0.00198412,0.00001302552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01967348,0.0005869759,0.978691,0.00003083978,0.00001844734,0.00003064762,0.00004604137,0.0002996802,0.0006228857],"genre_scores_gemma":[0.2023184,0.0004945993,0.7940124,0.00003889657,0.00001940237,0.00007329881,0.0003630138,0.00006824302,0.002611716],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002808451,"threshold_uncertainty_score":0.00558418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388077030","doi":"10.1109/tce.2023.3328949","title":"Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Heriot-Watt University; University of Surrey; Royal Academy of Engineering; Queen's University; University of Essex; Newcastle University; University of West London; Chalmers Tekniska Högskola; Cranfield University; Queen's University Belfast; University College London","keywords":"Computer science; Edge computing; Node (physics); Enhanced Data Rates for GSM Evolution; Distributed computing; Computer network; Engineering; Telecommunications","authors":[{"name":"Shidrokh Goudarzi","is_ca":false},{"name":"Seyed Ahmad Soleymani","is_ca":false},{"name":"Mohammad Hossein Anisi","is_ca":false},{"name":"Anish Jindal","is_ca":false},{"name":"Fateme Dinmohammadi","is_ca":false},{"name":"Pei Xiao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01318487970442547,"gpt":0.2291673082237236,"spread":0.2159824285192981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006564739,0.0003149264,0.0002853277,0.0003672708,0.0006397881,0.0006325829,0.000632336,0.0006082875,0.001072843],"category_scores_gemma":[0.001270126,0.0001944793,0.0002568812,0.0004069711,0.0004960369,0.001008758,0.0008947853,0.0003731761,0.0001460715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007930052,"about_ca_system_score_gemma":0.0004305134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535207,"about_ca_topic_score_gemma":0.002332435,"domain_scores_codex":[0.9996394,0.0001441295,0.00001249651,0.0000578539,0.00008009562,0.00006597855],"domain_scores_gemma":[0.9995731,0.0002243386,0.00004612411,0.00005439354,0.000061192,0.00004087696],"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":[0.00009018849,0.0000471258,0.001322503,0.00005365454,0.00001803285,0.0002579279,0.00009697531,0.9245123,0.008052907,0.03399697,0.0006563937,0.03089503],"study_design_scores_gemma":[0.000007176535,0.00007484137,0.0003443469,0.000007024908,0.000007193433,0.00005203924,0.00008674955,0.9867264,0.002407206,0.008910844,0.001369597,0.000006628507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2368059,0.0007083739,0.7510284,0.0005040283,0.00007619391,0.00008753855,0.00004952381,0.0002615413,0.01047843],"genre_scores_gemma":[0.9699023,0.0001688166,0.02882309,0.00003650741,0.000005304374,0.00002271826,0.0000161508,0.000009645441,0.001015472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001535207,"threshold_uncertainty_score":0.005753696,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164596084","doi":"10.1109/tce.2007.4429244","title":"A Fast Directional Sigma Filter for Noise Reduction in Digital TV Signals","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Salt-and-pepper noise; Noise reduction; Computer science; Adaptive filter; Gaussian noise; Filter (signal processing); Mathematics; Filter design; Root-raised-cosine filter; Kernel adaptive filter; Algorithm; Median filter; Computer vision; Image processing; Image (mathematics)","authors":[{"name":"Mohammed Ghazal","is_ca":true},{"name":"Aishy Amer","is_ca":true},{"name":"Ali Ghrayeb","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01872070247519492,"gpt":0.2802739980289294,"spread":0.2615532955537345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526601,0.0003849717,0.0002613906,0.0004641219,0.0002176195,0.0003538637,0.000363132,0.000508838,0.001578478],"category_scores_gemma":[0.0005767744,0.0001852749,0.0003686381,0.000314103,0.0001878125,0.0004182002,0.000233498,0.0003321727,0.0004775415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264022,"about_ca_system_score_gemma":0.000330318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009432668,"about_ca_topic_score_gemma":0.001813126,"domain_scores_codex":[0.9998019,0.00002520923,0.000009469612,0.00003108198,0.0001213502,0.00001109416],"domain_scores_gemma":[0.999836,0.00004818425,0.00001758989,0.00001564424,0.00007237107,0.00001017808],"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":[0.0003813649,0.0000613851,0.0007361356,0.0002064288,0.0000561246,0.0001192276,0.00009416472,0.02312876,0.3974361,0.009385837,0.001388592,0.5670058],"study_design_scores_gemma":[0.00006743154,0.0005505069,0.002052837,0.00005735478,0.0001342628,0.0007987402,0.00005542172,0.6189142,0.3442437,0.004040003,0.02902342,0.00006210106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01934281,0.0006444368,0.9784703,0.00005390284,0.00005012295,0.00001548407,0.00002551523,0.0003597492,0.001037627],"genre_scores_gemma":[0.2797827,0.001431151,0.7095976,0.000171434,0.0001061755,0.00005722733,0.0002016926,0.00009873051,0.008553268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001578478,"threshold_uncertainty_score":0.005280554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130153473","doi":"10.1109/tce.2003.1261251","title":"An electronic nose for multimedia applications","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":11,"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":"Electronic nose; Computer science; Multimedia; Electronics; Embedded system; Human–computer interaction; Engineering; Artificial intelligence; Electrical engineering","authors":[{"name":"R. Castro","is_ca":true},{"name":"Mrinal Mandal","is_ca":true},{"name":"Peter O. Ajemba","is_ca":true},{"name":"M. Al Istihad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007330208042085465,"gpt":0.2409702692262085,"spread":0.233640061184123,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002403631,0.0004913592,0.0003760457,0.0004070846,0.0004115031,0.00054044,0.0009876917,0.001747625,0.008371324],"category_scores_gemma":[0.000457938,0.0001816937,0.0003664755,0.0002335708,0.0002654398,0.001051796,0.0005804023,0.0005450516,0.003644394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001718,"about_ca_system_score_gemma":0.0002529158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905561,"about_ca_topic_score_gemma":0.0004224485,"domain_scores_codex":[0.9996438,0.00003250668,0.00001432133,0.00005353361,0.0002300815,0.00002576691],"domain_scores_gemma":[0.9997476,0.00005012908,0.00002313318,0.00002629289,0.0001258926,0.00002699569],"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":[0.0001815479,0.0001211049,0.000466584,0.0006793045,0.00002180911,0.0007688357,0.0000414527,0.0004180924,0.7119659,0.005249727,0.01417159,0.2659141],"study_design_scores_gemma":[0.0001121458,0.001556387,0.002637302,0.000179903,0.0001375164,0.009654439,0.0001059696,0.02543588,0.5678799,0.00262544,0.3895421,0.0001329616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1121721,0.05724031,0.6680931,0.007105647,0.007340877,0.001409275,0.0006670654,0.008859416,0.1371122],"genre_scores_gemma":[0.4665908,0.01263965,0.3956777,0.007304789,0.001194531,0.0004261782,0.0004315001,0.0002344051,0.1155004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008371324,"threshold_uncertainty_score":0.02800488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}