{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":19,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":19,"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":"0444b23d62fe","filters":{"venue":"European Signal Processing Conference"}},"results":[{"id":"W2116622845","doi":"","title":"Automatic crack detection on road imagery using anisotropic diffusion and region linkage","year":2010,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Histogram; Pixel; Computer science; Segmentation; Image segmentation; Binary image; Anisotropic diffusion; Pattern recognition (psychology); Mixture model; Image processing; Image (mathematics)","authors":[{"name":"Henrique Oliveira","is_ca":false},{"name":"Paulo Lobato Correia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01368970734993826,"gpt":0.2179766185272002,"spread":0.2042869111772619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006206739,0.0005448036,0.0008058298,0.001892536,0.0003366178,0.0006102822,0.0009148054,0.0008306064,0.0005534418],"category_scores_gemma":[0.001204284,0.0004478351,0.0006171386,0.0009521713,0.0004009964,0.0009366567,0.000652043,0.0005368151,0.0003424746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941879,"about_ca_system_score_gemma":0.000422525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195753,"about_ca_topic_score_gemma":0.00262139,"domain_scores_codex":[0.9995529,0.00007097305,0.00001654758,0.0001433011,0.0001659991,0.00005023479],"domain_scores_gemma":[0.999317,0.0002733811,0.0001249676,0.00007202561,0.0001832173,0.00002941426],"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":[0.0003250864,0.0001490991,0.002763299,0.0001772544,0.0001194042,0.0001355255,0.0001995085,0.04148405,0.4172542,0.002125683,0.0008768116,0.5343901],"study_design_scores_gemma":[0.00002447317,0.0001146495,0.004816473,0.00001109299,0.00004401421,0.0003299781,0.00003760673,0.9034973,0.08849752,0.001129039,0.001455203,0.00004265556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07447986,0.0003561586,0.9236859,0.00005288088,0.00001404361,0.00005448608,0.0000570007,0.0008278886,0.0004716981],"genre_scores_gemma":[0.2688384,0.0002637476,0.7293645,0.00002287129,0.00002420453,0.0000807771,0.0001644827,0.0001049093,0.001136055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002195753,"threshold_uncertainty_score":0.004365981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1493379811","doi":"","title":"1-D Local binary patterns based VAD used INHMM-based improved speech recognition","year":2012,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Speech and Audio Processing","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":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Hidden Markov model; Speech recognition; Computer science; Voice activity detection; Pattern recognition (psychology); Binary number; Segmentation; Local binary patterns; Artificial intelligence; Speech processing; Mathematics; Histogram","authors":[{"name":"Qiming Zhu","is_ca":true},{"name":"Navin Chatlani","is_ca":true},{"name":"John J. Soraghan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04706988872752636,"gpt":0.2519290702826704,"spread":0.2048591815551441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005711287,0.0005220765,0.0006483269,0.0009734139,0.0002650329,0.0006850188,0.0006388221,0.0007725209,0.002975395],"category_scores_gemma":[0.001363024,0.0002978542,0.0004046541,0.0007947334,0.0003259898,0.0007604673,0.0005313172,0.000498577,0.001810031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344282,"about_ca_system_score_gemma":0.0002202724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004741336,"about_ca_topic_score_gemma":0.0009238691,"domain_scores_codex":[0.9994097,0.0001548285,0.00003733331,0.0001159873,0.0002339301,0.00004826748],"domain_scores_gemma":[0.9994592,0.0001634735,0.00006447935,0.0001123388,0.0001750021,0.00002547742],"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":[0.0005163341,0.00006471773,0.001428786,0.0003220954,0.0000540018,0.0001604152,0.00006283721,0.00562267,0.3808652,0.001414212,0.00172004,0.6077687],"study_design_scores_gemma":[0.00004914064,0.0006928067,0.01036538,0.0001108882,0.0001622544,0.002809975,0.00009671987,0.3439779,0.6131636,0.0017522,0.0267196,0.00009953432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05035759,0.003163977,0.9403698,0.0002191178,0.0004390808,0.00008086803,0.0002788288,0.002298333,0.002792478],"genre_scores_gemma":[0.3927731,0.001416107,0.5999984,0.0002895997,0.0001351338,0.0001371156,0.0006789165,0.0001256722,0.004446021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002975395,"threshold_uncertainty_score":0.009953737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1482783311","doi":"","title":"A robust narrowband active noise control system for accommodating frequency mismatch","year":2004,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":9,"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":"Narrowband; Active noise control; Noise (video); SIGNAL (programming language); Computer science; Tachometer; Electronic engineering; Signal generator; Acoustics; Control theory (sociology); Engineering; Channel (broadcasting); Physics; Detector; Telecommunications","authors":[{"name":"Yegui Xiao","is_ca":false},{"name":"Liying May","is_ca":true},{"name":"K. Khorasani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03475712932488928,"gpt":0.2321749467407545,"spread":0.1974178174158652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004534102,0.0004257847,0.0004111716,0.0002320424,0.0003381859,0.0004861887,0.0007213424,0.0007066433,0.001536926],"category_scores_gemma":[0.0008238272,0.0001361957,0.0002066416,0.0001433103,0.0002548579,0.0005831223,0.0003816698,0.000382787,0.0006358775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453772,"about_ca_system_score_gemma":0.0003612329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000930216,"about_ca_topic_score_gemma":0.0009708294,"domain_scores_codex":[0.9996814,0.00005120271,0.00002070847,0.00009694325,0.0001248327,0.00002494838],"domain_scores_gemma":[0.9997398,0.00005787937,0.00005396288,0.00003249575,0.0001000235,0.00001582098],"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":[0.0006328406,0.0001619433,0.001120191,0.0002236877,0.00008635336,0.0003563614,0.000190978,0.1160433,0.4453047,0.01276436,0.002717207,0.4203982],"study_design_scores_gemma":[0.00008975808,0.0005599087,0.0008854848,0.00001974531,0.00005665135,0.0003470658,0.00001613788,0.9013029,0.08639906,0.001246075,0.009037735,0.00003941001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0322077,0.0002257706,0.9636731,0.0001259984,0.0001405816,0.00005689027,0.00003139653,0.001032479,0.002506224],"genre_scores_gemma":[0.7505772,0.0002001283,0.2412293,0.0002159977,0.0001288605,0.0001612911,0.00009793824,0.0000404606,0.00734884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001536926,"threshold_uncertainty_score":0.005141556,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1554393788","doi":"","title":"Least squares solution for error correction on the real field using quantized DFT codes","year":2012,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Overdetermined system; Quantization (signal processing); Algorithm; Decoding methods; Mean squared error; Mathematics; Error detection and correction; Computer science; Applied mathematics; Statistics","authors":[{"name":"Mojtaba Vaezi","is_ca":true},{"name":"Fabrice Labeau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1190871327407715,"gpt":0.3408139011529427,"spread":0.2217267684121711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269465,0.0007137008,0.0006518498,0.00047114,0.0003135369,0.0006992422,0.0006104006,0.0009122886,0.001977476],"category_scores_gemma":[0.007614905,0.0002944887,0.0002885167,0.0007152202,0.001003517,0.001275413,0.0008071324,0.001089062,0.000537183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290595,"about_ca_system_score_gemma":0.001233994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309294,"about_ca_topic_score_gemma":0.001979353,"domain_scores_codex":[0.9991836,0.0003043044,0.00003398037,0.000104554,0.0003308114,0.00004280076],"domain_scores_gemma":[0.997698,0.001544346,0.0001350744,0.0002099298,0.0003821147,0.00003048156],"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":[0.000134443,0.00003540026,0.0004920666,0.0001845634,0.00003585374,0.000112977,0.0001781059,0.7670619,0.01742451,0.09417367,0.002003324,0.1181631],"study_design_scores_gemma":[0.000006886869,0.00001478023,0.00004661251,0.000009571953,0.000002177109,0.00002529263,0.000009818375,0.9880244,0.00304096,0.008261072,0.0005512426,0.000007186113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00438322,0.0001019672,0.9948284,0.00009478813,0.00002187332,0.000009037611,0.00001518147,0.000128212,0.0004173995],"genre_scores_gemma":[0.2110462,0.0004937105,0.7841426,0.0001279835,0.00006185255,0.0000833023,0.0001479827,0.0001396198,0.003756726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002309294,"threshold_uncertainty_score":0.006713629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151013122","doi":"","title":"Sum rate maximization in multi-operator two-way relay networks with a MIMO AF relay via POTDC","year":2013,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; MIMO; Beamforming; Maximization; Computer science; Mathematical optimization; Transmitter power output; Optimization problem; Operator (biology); Relay channel; Convex optimization; Power (physics); Algorithm; Mathematics; Regular polygon; Computer network; Telecommunications; Transmitter","authors":[{"name":"Jianshu Zhang","is_ca":false},{"name":"Sergiy A. Vorobyov","is_ca":false},{"name":"Arash Khabbazibasmenj","is_ca":true},{"name":"Martin Haardt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03918453283932458,"gpt":0.2532808421147827,"spread":0.2140963092754581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154817,0.001149851,0.001211272,0.0004178721,0.000314521,0.001279677,0.001104138,0.001041312,0.001752296],"category_scores_gemma":[0.002135277,0.0003959004,0.0006383482,0.001338803,0.000652364,0.001374126,0.001178342,0.001008593,0.0005200466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006984617,"about_ca_system_score_gemma":0.0007478605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388353,"about_ca_topic_score_gemma":0.001085966,"domain_scores_codex":[0.9993793,0.0002663481,0.00002913544,0.0001026509,0.0001367645,0.00008569119],"domain_scores_gemma":[0.9989223,0.0007280907,0.00009313278,0.00008142584,0.0001313522,0.00004366698],"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":[0.0001135776,0.00006179349,0.0002063621,0.0001852996,0.00003535604,0.0002031099,0.00009172288,0.9251425,0.005157575,0.02587391,0.001429392,0.04149935],"study_design_scores_gemma":[0.00001073163,0.00003490486,0.00002866194,0.000004592861,0.000005216871,0.00006232756,0.00001244128,0.9937546,0.001030425,0.004739642,0.0003121,0.000004454267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01758558,0.0004385449,0.978,0.0001819701,0.00003271081,0.00003871343,0.00005851667,0.0001292286,0.003534734],"genre_scores_gemma":[0.7428632,0.001061914,0.2514828,0.0001677372,0.00008734295,0.00017434,0.000141347,0.0000808406,0.003940511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001752296,"threshold_uncertainty_score":0.006107271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1557290754","doi":"","title":"Coherent and incoherent interference reduction using a subband tradeoff beamformer","year":2011,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Interference (communication); Computer science; Reduction (mathematics); Perspective (graphical); Distortion (music); Noise (video); Noise reduction; Beamforming; Speech recognition; Set (abstract data type); Acoustics; Signal-to-noise ratio (imaging); Algorithm; Mathematics; Artificial intelligence; Telecommunications; Physics; Bandwidth (computing); Image (mathematics)","authors":[{"name":"Emanuël A. P. Habets","is_ca":false},{"name":"Jacob Benesty","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08395056231313583,"gpt":0.2503585055145274,"spread":0.1664079432013916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275669,0.001005747,0.0007715704,0.0005401277,0.0002109383,0.0007060866,0.0006540035,0.001158862,0.00238254],"category_scores_gemma":[0.002575342,0.0005294156,0.0006879872,0.0006181417,0.000546384,0.001355147,0.001133759,0.0006609475,0.001371226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496178,"about_ca_system_score_gemma":0.000381379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00018836,"about_ca_topic_score_gemma":0.0003866794,"domain_scores_codex":[0.9988991,0.0003582896,0.00007340126,0.0001962108,0.0004231067,0.00004996579],"domain_scores_gemma":[0.9991367,0.0003084892,0.00009097328,0.0001421824,0.0002805343,0.00004110369],"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":[0.001215574,0.0001554707,0.001259557,0.0002379491,0.0002489728,0.0001555794,0.0003731516,0.1113741,0.4971144,0.02324808,0.001672948,0.3629442],"study_design_scores_gemma":[0.0002270288,0.001112196,0.00218738,0.00005313515,0.0002215794,0.001363131,0.0001368132,0.757637,0.2048236,0.01510431,0.01700738,0.000126548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009790831,0.0001556466,0.9887767,0.00006793001,0.00002465159,0.00002027757,0.00001489402,0.0001518602,0.0009972546],"genre_scores_gemma":[0.1447172,0.0003831763,0.850494,0.0001629951,0.0000555826,0.0001331049,0.0001160058,0.0000957633,0.003842323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00238254,"threshold_uncertainty_score":0.007970393,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116739232","doi":"","title":"Majorization-minimization technique for multi-static radar code design","year":2013,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Clutter; Metric (unit); Code (set theory); Minification; Computer science; Divergence (linguistics); Convex optimization; Radar; Majorization; Constraint (computer-aided design); Algorithm; Optimization problem; Mathematical optimization; Mathematics; Regular polygon; Engineering; Telecommunications","authors":[{"name":"Mohammad Mahdi Naghsh","is_ca":false},{"name":"Mahmoud Modarres-Hashemi","is_ca":false},{"name":"Shahram Shahbazpanahi","is_ca":true},{"name":"Mojtaba Soltanalian","is_ca":false},{"name":"Petre Stoica","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05568020140906792,"gpt":0.2548403574114084,"spread":0.1991601560023405,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523028,0.001419963,0.0007739666,0.0006389195,0.0003086542,0.0006021506,0.0006418542,0.0006958453,0.001564077],"category_scores_gemma":[0.00342518,0.0004113476,0.0006598083,0.0006204782,0.0009319009,0.0009356831,0.001088175,0.0010652,0.0006278397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020198,"about_ca_system_score_gemma":0.0008292924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004109128,"about_ca_topic_score_gemma":0.0004802551,"domain_scores_codex":[0.9992309,0.0003353437,0.00002892488,0.0001042927,0.0002368281,0.00006377469],"domain_scores_gemma":[0.9984921,0.0008344204,0.0001690332,0.0001392419,0.0003113532,0.00005383799],"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":[0.0001907707,0.0001140231,0.0006257255,0.0003039048,0.0001035088,0.0001667958,0.0001802689,0.7132792,0.04101048,0.08548445,0.003220706,0.1553202],"study_design_scores_gemma":[0.00001567877,0.0001695612,0.00009880669,0.00001441071,0.00001531492,0.0001206875,0.00001362733,0.9749812,0.007947648,0.01429564,0.002309969,0.00001742549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002827191,0.0001538563,0.9962637,0.00006217523,0.00001326503,0.00001451972,0.000008693986,0.00004919432,0.0006074969],"genre_scores_gemma":[0.2365292,0.0005797081,0.7588136,0.0002407869,0.0001032773,0.0001862578,0.0001105403,0.0001898386,0.003246744],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001564077,"threshold_uncertainty_score":0.008054674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167894290","doi":"","title":"Subspace-based speech enhancement by updating noise characteristics in the presence of speech","year":2008,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton; Institut National de la Recherche Scientifique","funders":"","keywords":"Subspace topology; Signal subspace; Speech enhancement; Speech recognition; Computer science; Noise (video); Principal component analysis; Distortion (music); Variance (accounting); Pattern recognition (psychology); Noise reduction; Noise measurement; SIGNAL (programming language); Selection (genetic algorithm); Signal-to-noise ratio (imaging); Artificial intelligence; Algorithm; Telecommunications","authors":[{"name":"Amin Haji Abolhassani","is_ca":true},{"name":"Sid‐Ahmed Selouani","is_ca":true},{"name":"Douglas O’Shaughnessy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03058665329831157,"gpt":0.2454176022873812,"spread":0.2148309489890696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000581636,0.0008324705,0.0006914381,0.0005393812,0.0002070651,0.0005230146,0.0004242284,0.0005926939,0.001201056],"category_scores_gemma":[0.001488814,0.0002572229,0.0005813731,0.0004784715,0.0003672251,0.0008906298,0.0004971813,0.0004977444,0.0008579538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026745,"about_ca_system_score_gemma":0.0002396581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003640614,"about_ca_topic_score_gemma":0.0007093293,"domain_scores_codex":[0.9995673,0.0001459753,0.00002478391,0.00007527562,0.0001618276,0.00002486682],"domain_scores_gemma":[0.9993291,0.0002864574,0.00005631995,0.00009299431,0.0002141812,0.00002096506],"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":[0.0004823036,0.00008646765,0.0005105551,0.0002104908,0.00008045157,0.0001408618,0.0001240654,0.04029676,0.4966178,0.002825507,0.0005296215,0.4580952],"study_design_scores_gemma":[0.00002882212,0.0004485641,0.001776708,0.0000253737,0.0001504057,0.0009526807,0.00005611922,0.582323,0.4044185,0.002056873,0.007691139,0.00007184051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02554718,0.0004132342,0.9726818,0.00004273728,0.00004261766,0.00002027984,0.00002868274,0.0005382234,0.0006853473],"genre_scores_gemma":[0.1962217,0.0009315858,0.7995456,0.00007225214,0.00009455033,0.00003857753,0.0001725923,0.0002277893,0.002695264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001201056,"threshold_uncertainty_score":0.004017949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1565673794","doi":"","title":"Single-carrier equalization and distributed beamforming for asynchronous two-way relay networks","year":2013,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Relay; Transceiver; Beamforming; Computer science; Channel (broadcasting); Asynchronous communication; Equalization (audio); Interference (communication); Relay channel; Intersymbol interference; Electronic engineering; Power (physics); Telecommunications; Engineering; Wireless","authors":[{"name":"Reza Vahidnia","is_ca":true},{"name":"Shahram Shahbazpanahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04953907120453908,"gpt":0.2650630082704354,"spread":0.2155239370658963,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006325211,0.0007550968,0.0004993675,0.0002527854,0.000276718,0.0006067592,0.000584412,0.0008441226,0.002135371],"category_scores_gemma":[0.001476148,0.0002729318,0.0003622869,0.000519286,0.0005985709,0.0009782051,0.000451147,0.0005967836,0.0006199441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005614482,"about_ca_system_score_gemma":0.0005901519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218026,"about_ca_topic_score_gemma":0.001910028,"domain_scores_codex":[0.9996457,0.0001351081,0.00001388685,0.00006984123,0.0001025862,0.00003280834],"domain_scores_gemma":[0.9995751,0.0002731402,0.00004268746,0.00002973746,0.00006703862,0.00001230584],"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":[0.00005564874,0.00003935991,0.0002077177,0.0001241149,0.0000234981,0.0001158699,0.00006109988,0.901376,0.008372428,0.04616763,0.0008079661,0.04264873],"study_design_scores_gemma":[0.000009760227,0.000029201,0.00006675396,0.000004984337,0.000005948768,0.00003368488,0.00000909944,0.9911098,0.0008689229,0.007279108,0.0005753321,0.000007362215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004935991,0.0002521109,0.993024,0.00007174657,0.00002308747,0.00001524718,0.00001937999,0.00004270999,0.001615789],"genre_scores_gemma":[0.6557574,0.001541009,0.3315603,0.0001214998,0.0001383226,0.0002113345,0.00009863808,0.00005709714,0.0105144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002135371,"threshold_uncertainty_score":0.007143497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126349270","doi":"","title":"Processing of low quality document images: Issues and directions","year":2008,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Preprocessor; Quality (philosophy); Document image processing; Scale (ratio); Historical document; Information retrieval; Image quality; Degradation (telecommunications); Data mining; Artificial intelligence; Image (mathematics); Image segmentation; Geography","authors":[{"name":"Mohamed Cheriet","is_ca":true},{"name":"Reza Farrahi Moghaddam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03518356667216791,"gpt":0.279084193577136,"spread":0.2439006269049681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006317342,0.001076212,0.001202721,0.002062352,0.001225968,0.005342291,0.002669294,0.007176783,0.008121266],"category_scores_gemma":[0.00511127,0.0007958608,0.0005820983,0.003219084,0.002620348,0.009582705,0.001159978,0.002214582,0.004254795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024108,"about_ca_system_score_gemma":0.002219413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003592828,"about_ca_topic_score_gemma":0.002375866,"domain_scores_codex":[0.998311,0.0004172511,0.0001802596,0.0002786494,0.0006823569,0.000130371],"domain_scores_gemma":[0.9885318,0.004116108,0.000629645,0.0005762578,0.005593229,0.0005528815],"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":[0.0003384252,0.0006009284,0.002857162,0.005761227,0.00007981549,0.0007863137,0.000867906,0.007814895,0.007956273,0.05099225,0.02747023,0.8944746],"study_design_scores_gemma":[0.0001843659,0.002205898,0.006713725,0.006016056,0.0002441338,0.00704659,0.00680604,0.1447714,0.02866047,0.2324023,0.5643644,0.0005845294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01612749,0.6557559,0.2513868,0.04505624,0.002703789,0.0003482837,0.0002389381,0.001060463,0.02732217],"genre_scores_gemma":[0.1072652,0.6005126,0.2582003,0.00438328,0.006634278,0.0004283163,0.0007205452,0.0002070776,0.02164829],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008121266,"threshold_uncertainty_score":0.03340971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129105667","doi":"","title":"Distortion estimation for reference frame modification methods","year":2011,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Encoder; Distortion (music); Channel (broadcasting); Algorithm; Transmission (telecommunications); Rate–distortion theory; Rate–distortion optimization; Reference software; Software; Real-time computing; Artificial intelligence; Data compression; Telecommunications; Multiview Video Coding; Bandwidth (computing); Video processing","authors":[{"name":"Amir Naghdinezhad","is_ca":true},{"name":"Fabrice Labeau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2301197313659844,"gpt":0.3618827158159812,"spread":0.1317629844499968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007815328,0.0008429632,0.0005652689,0.0007292982,0.0001972467,0.0006191759,0.0009734306,0.0005527736,0.002745423],"category_scores_gemma":[0.003957594,0.0002411289,0.0004424584,0.0005589523,0.0002414908,0.0007429831,0.0004834996,0.0007092042,0.001528244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004076318,"about_ca_system_score_gemma":0.0004538582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767458,"about_ca_topic_score_gemma":0.001857691,"domain_scores_codex":[0.9991358,0.0001723404,0.00004182371,0.000169524,0.0004444587,0.00003611252],"domain_scores_gemma":[0.9989014,0.0003205171,0.0001125498,0.0002609322,0.0003842215,0.00002038123],"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":[0.00022453,0.00005414828,0.001055785,0.0001580115,0.00006991647,0.00007188095,0.00007399978,0.09576541,0.03931465,0.01019542,0.002712275,0.850304],"study_design_scores_gemma":[0.00002525427,0.0001217947,0.001662722,0.00003658038,0.00004182546,0.0003597773,0.00002251177,0.9371092,0.04791093,0.002740893,0.009932169,0.00003637284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002124379,0.0003597164,0.9964448,0.00002646491,0.00002884814,0.00001760759,0.00002138523,0.0003309956,0.0006458331],"genre_scores_gemma":[0.1415626,0.0007688562,0.8523322,0.00006283048,0.00006946222,0.00009015428,0.0003325646,0.0001996352,0.004581681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002745423,"threshold_uncertainty_score":0.009184361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1675199867","doi":"","title":"Automated Gaussian filtering VIA Gaussian scale space and linear diffusion","year":2012,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Scale space; Gaussian; Gaussian noise; Noise reduction; Gaussian filter; Algorithm; Convolution (computer science); Non-local means; Estimator; Noise (video); Computer science; Gaussian blur; Artificial intelligence; Mathematics; Filter (signal processing); Anisotropic diffusion; Pattern recognition (psychology); Computer vision; Image (mathematics); Image processing; Image restoration; Statistics; Image denoising; Physics","authors":[{"name":"Eva Rifkah","is_ca":true},{"name":"Aishy Amer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02851690265120286,"gpt":0.2772865265401332,"spread":0.2487696238889304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252574,0.0005232218,0.0006504906,0.0007842534,0.0003038154,0.000907161,0.000728972,0.0011494,0.0007940563],"category_scores_gemma":[0.004119842,0.0003504591,0.000682592,0.0006373398,0.00121684,0.001306481,0.0008365569,0.0007536501,0.0003666055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000820911,"about_ca_system_score_gemma":0.0008451061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003291115,"about_ca_topic_score_gemma":0.003216501,"domain_scores_codex":[0.999161,0.0002163223,0.00003179449,0.0001636347,0.0003737619,0.0000535249],"domain_scores_gemma":[0.9990832,0.000391895,0.0001637887,0.0001501076,0.0001839173,0.00002721549],"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":[0.0001810488,0.00009375621,0.001288806,0.0002241442,0.0001386436,0.0002159121,0.0002693442,0.4376296,0.08459682,0.1779935,0.001677142,0.2956913],"study_design_scores_gemma":[0.00001236004,0.00005680972,0.0004281331,0.000007141723,0.000013468,0.00008495768,0.000008843645,0.9711509,0.01059765,0.01598513,0.001631584,0.00002302603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00629323,0.0001309085,0.9927475,0.00006353218,0.00001279325,0.00001175362,0.000007056446,0.000198157,0.0005350339],"genre_scores_gemma":[0.4184979,0.0006159872,0.5767248,0.0001213777,0.0000885238,0.00008719393,0.00006185322,0.000119328,0.003683056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003291115,"threshold_uncertainty_score":0.006624341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1485477320","doi":"","title":"Adaptive regularization in frequency-domain NLMS filters","year":2012,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Regularization (linguistics); Regularization perspectives on support vector machines; Adaptive filter; Frequency domain; Bin; Algorithm; Kernel adaptive filter; Mathematics; Computer science; Mathematical optimization; Digital filter; Filter (signal processing); Inverse problem; Artificial intelligence; Mathematical analysis; Tikhonov regularization","authors":[{"name":"Ayman Faza","is_ca":false},{"name":"Steven Grant","is_ca":false},{"name":"Jacob Benesty","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02926880428191338,"gpt":0.2337782970489587,"spread":0.2045094927670453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190602,0.000584434,0.0005406873,0.0004795248,0.0003588743,0.0005799845,0.0006570491,0.001321307,0.001134719],"category_scores_gemma":[0.004656316,0.0003172192,0.0005248747,0.0005149252,0.0008547531,0.0010682,0.0006816006,0.0009822372,0.0005320662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006071033,"about_ca_system_score_gemma":0.0006572996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671816,"about_ca_topic_score_gemma":0.001782624,"domain_scores_codex":[0.9989821,0.000326561,0.0000518269,0.0001869269,0.0004075117,0.00004504835],"domain_scores_gemma":[0.9989696,0.0005693805,0.00009971485,0.00009732956,0.0002454594,0.0000185801],"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":[0.0002467158,0.0000780778,0.0007608884,0.0002635362,0.00009366637,0.0001894507,0.0002849539,0.5651649,0.09835927,0.04945627,0.002586375,0.2825159],"study_design_scores_gemma":[0.00001121384,0.00002533163,0.0002208905,0.00001381891,0.000008111577,0.00006730857,0.00001213845,0.9786825,0.009657567,0.008444224,0.002839784,0.00001706306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003391932,0.0001185147,0.9956156,0.00008118841,0.00002529745,0.00001013308,0.000007441154,0.0001365895,0.0006132507],"genre_scores_gemma":[0.2052747,0.0004853373,0.7890439,0.0002135249,0.0001154305,0.0001394919,0.00009172957,0.0001583657,0.004477691],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001671816,"threshold_uncertainty_score":0.006296575,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153734993","doi":"","title":"Spatio-temporal object recognition using variational learning of an infinite statistical model","year":2013,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Inference; Artificial intelligence; Bayesian inference; Machine learning; Statistical model; Bayes' theorem; Object (grammar); Statistical inference; Pattern recognition (psychology); Cognitive neuroscience of visual object recognition; Feature (linguistics); Activity recognition; Nonparametric statistics; Bayesian probability; Key (lock); Mathematics","authors":[{"name":"Wentao Fan","is_ca":true},{"name":"Nizar Bouguila","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06534754987773936,"gpt":0.2898479345544215,"spread":0.2245003846766822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003559702,0.0007236331,0.001699804,0.001383208,0.0005507082,0.002024733,0.003397202,0.001948268,0.001392463],"category_scores_gemma":[0.007431738,0.001057238,0.001942179,0.001167196,0.001982068,0.002903247,0.002127861,0.00226583,0.0004708379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764219,"about_ca_system_score_gemma":0.001208653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007500898,"about_ca_topic_score_gemma":0.007824876,"domain_scores_codex":[0.9984928,0.0006411581,0.00006993761,0.0003422015,0.0003453004,0.0001084896],"domain_scores_gemma":[0.9971647,0.002039694,0.0002013861,0.0002830306,0.0001956926,0.0001155101],"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":[0.00006016892,0.00005291801,0.000905229,0.00007547607,0.0001202322,0.00009337301,0.0001285526,0.7659466,0.003348932,0.1743232,0.0008959575,0.05404941],"study_design_scores_gemma":[0.000001307387,0.000004303261,0.00004350232,0.00000267034,0.000002308973,0.00000993901,0.000003054651,0.9792254,0.0001352719,0.02039858,0.0001689618,0.000004666069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002391044,0.00008888172,0.9971442,0.00006864004,0.000006766554,0.000005274136,0.00001550811,0.00007540035,0.0002043764],"genre_scores_gemma":[0.4528563,0.0006123085,0.5405287,0.0002739309,0.0001248686,0.0001955772,0.0004731481,0.0002450084,0.00469017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007500898,"threshold_uncertainty_score":0.01882577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1597835510","doi":"","title":"Efficient design of waveforms for robust pulse amplitude modulation using mean square error criteria","year":2000,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Robustness (evolution); Mean squared error; Computer science; Filter design; Waveform; Bandwidth (computing); Control theory (sociology); Convex optimization; Electronic engineering; Mathematics; Algorithm; Filter (signal processing); Regular polygon; Telecommunications; Engineering; Statistics","authors":[{"name":"Timothy N. Davidson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08757771919209903,"gpt":0.2846696933449917,"spread":0.1970919741528927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660889,0.0008703678,0.0007339253,0.0005676616,0.0001965101,0.0009130999,0.0006309524,0.001158313,0.001113858],"category_scores_gemma":[0.006766078,0.0004497212,0.000359114,0.0005671897,0.000616633,0.0008647994,0.000647834,0.0008614053,0.0006612978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004125922,"about_ca_system_score_gemma":0.0009695163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003040052,"about_ca_topic_score_gemma":0.0003694445,"domain_scores_codex":[0.9991541,0.000265212,0.00005886003,0.00008782339,0.0003838365,0.00005010109],"domain_scores_gemma":[0.9985446,0.0008411591,0.0001913208,0.00007871447,0.0003177274,0.00002656417],"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":[0.0002085351,0.00008214609,0.0003037719,0.0004591751,0.0000521998,0.0001495984,0.0001654809,0.565443,0.0694277,0.1007762,0.002093993,0.2608383],"study_design_scores_gemma":[0.00003522647,0.0001383344,0.00007400587,0.00002717043,0.000009848083,0.00006776198,0.00001225044,0.9720908,0.01214524,0.01266771,0.002719072,0.00001257211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002273424,0.00008873902,0.9968961,0.00004115507,0.000009858451,0.0000228607,0.000009300173,0.00007558338,0.0005830144],"genre_scores_gemma":[0.1852085,0.0004664541,0.8124,0.00009543933,0.00006359606,0.0002826962,0.0001182569,0.0001240821,0.001241084],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001660889,"threshold_uncertainty_score":0.008783698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1854882488","doi":"","title":"Game-theoretic learning for activation of diffusion least mean squares","year":2013,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"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":"Node (physics); Computer science; Diffusion; Mathematical optimization; Set (abstract data type); Game theory; Energy (signal processing); Function (biology); Control (management); Activation function; Mathematics; Artificial intelligence; Statistics; Artificial neural network; Mathematical economics; Engineering","authors":[{"name":"Omid Namvar Gharehshiran","is_ca":true},{"name":"Vikram Krishnamurthy","is_ca":true},{"name":"George Yin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01731784369583357,"gpt":0.25447582284939,"spread":0.2371579791535564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003427396,0.001430881,0.001555457,0.000713147,0.000586455,0.001528603,0.001875552,0.001931485,0.002775487],"category_scores_gemma":[0.01312557,0.0006875303,0.0007104269,0.0006725079,0.002979873,0.002226444,0.002501932,0.002628313,0.0004146467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065685,"about_ca_system_score_gemma":0.001483803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004481355,"about_ca_topic_score_gemma":0.00353742,"domain_scores_codex":[0.9982231,0.0009129505,0.00006463379,0.0003470306,0.00031438,0.0001378737],"domain_scores_gemma":[0.9929663,0.00577639,0.0003876084,0.0001727592,0.0005147097,0.0001822337],"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":[0.00004541297,0.00003042835,0.0003108612,0.00006511842,0.00003668141,0.00004753405,0.0001220336,0.8946803,0.0007949675,0.09339689,0.0006532196,0.00981659],"study_design_scores_gemma":[0.000005907828,0.000009979243,0.00001974907,0.000003411625,0.000002513505,0.000003864441,0.000004202956,0.9831735,0.00008040452,0.01653681,0.0001556975,0.000003805747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007274026,0.0001731233,0.9897551,0.0003594181,0.00003238055,0.00003699707,0.00002316723,0.00006039717,0.002285412],"genre_scores_gemma":[0.8516889,0.0004617025,0.1382406,0.0003416968,0.0001193194,0.0004377228,0.00009551123,0.0001194316,0.008495118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004481355,"threshold_uncertainty_score":0.01812607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1532658419","doi":"","title":"A modified Viterbi algorithm for non-Gaussian interference scenarios","year":2000,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Viterbi algorithm; Soft output Viterbi algorithm; Iterative Viterbi decoding; Computer science; Viterbi decoder; Algorithm; Turbo; Interference (communication); Gaussian noise; Speech recognition; Telecommunications; Sequential decoding; Decoding methods; Channel (broadcasting); Engineering","authors":[{"name":"J.E. Hudson","is_ca":true},{"name":"Stephen McLaughlin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0243667041949315,"gpt":0.2569751470570925,"spread":0.232608442862161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008544493,0.000719948,0.0009753137,0.0006133752,0.0004257969,0.000844704,0.002081483,0.001839279,0.003216625],"category_scores_gemma":[0.003899673,0.0004537693,0.0006318441,0.0008021524,0.0005325924,0.001350107,0.001044407,0.001356773,0.002874334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006087616,"about_ca_system_score_gemma":0.001598454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302085,"about_ca_topic_score_gemma":0.002703181,"domain_scores_codex":[0.9992411,0.0002018613,0.00004825561,0.0001342112,0.0002992771,0.00007537043],"domain_scores_gemma":[0.9990311,0.0004107723,0.00005421969,0.0002208191,0.0002491619,0.00003405871],"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":[0.000436067,0.0001396164,0.0006140851,0.0001959423,0.0001436699,0.000261005,0.0001477407,0.465473,0.03692978,0.08100503,0.006198134,0.408456],"study_design_scores_gemma":[0.00003705949,0.0001003959,0.0001568419,0.00001269561,0.00002408147,0.0001993001,0.000007076031,0.9728891,0.005600739,0.01427754,0.006666835,0.00002838752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003617349,0.0004267691,0.9940268,0.00009893886,0.00009434421,0.00005334878,0.00003472246,0.0003603714,0.001287312],"genre_scores_gemma":[0.1397763,0.0007449237,0.849056,0.0002098093,0.0001940426,0.0002495428,0.0002576961,0.000164882,0.009346837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003216625,"threshold_uncertainty_score":0.01076066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1542153889","doi":"","title":"Statistical analysis of adaptive neural network inversion of Hammerstein systems for Gaussian inputs","year":2002,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Artificial neural network; Multilayer perceptron; Adaptive filter; Kernel adaptive filter; Computer science; Backpropagation; Adaptive system; Gaussian; Perceptron; Algorithm; Nonlinear system; Wiener filter; Filter (signal processing); Least mean squares filter; Activation function; Control theory (sociology); Deconvolution; Inversion (geology); Mathematics; Artificial intelligence; Filter design","authors":[{"name":"Mohamed Ibnkahla","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05691095865527767,"gpt":0.2564117848771848,"spread":0.1995008262219071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618114,0.0003424335,0.0003956636,0.0007041583,0.0002030934,0.0004739388,0.0005597355,0.0005458185,0.001255022],"category_scores_gemma":[0.008866484,0.0002443271,0.0004524056,0.0004692003,0.0010857,0.001140223,0.0005233058,0.000875416,0.000150874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007660277,"about_ca_system_score_gemma":0.0007483313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002395037,"about_ca_topic_score_gemma":0.001718793,"domain_scores_codex":[0.9994835,0.0001541283,0.00002325831,0.00007374635,0.0002215519,0.00004395774],"domain_scores_gemma":[0.9961463,0.002696922,0.0003682914,0.0001840027,0.0005575872,0.00004700205],"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":[0.00005089869,0.00002660766,0.001750792,0.0001132073,0.00006392557,0.0001315876,0.0001047568,0.8336116,0.005966955,0.1282217,0.0005137335,0.02944422],"study_design_scores_gemma":[0.000001098682,0.000007962818,0.00055908,0.000003713681,0.000003253545,0.00001900969,0.000004311234,0.9814197,0.0005010715,0.01731363,0.0001619713,0.000005342054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03650445,0.0005332574,0.9600005,0.0002163497,0.00002596908,0.0000175354,0.00003790089,0.0001232747,0.002540709],"genre_scores_gemma":[0.9432015,0.0008106643,0.05160376,0.0001032358,0.0001061611,0.00008524577,0.0001523173,0.0001117457,0.003825421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002395037,"threshold_uncertainty_score":0.008557498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1560411157","doi":"10.5281/zenodo.39157","title":"The Use Of Decorrelation And Code Division Multiplexed Pilots For Ds-Cdma Systems With Multiantenna Receivers","year":2005,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Decorrelation; Code division multiple access; Computer science; Bit error rate; Rayleigh fading; Channel (broadcasting); Electronic engineering; Division (mathematics); Fading; Code (set theory); Multiplexing; Telecommunications; Algorithm; Engineering; Mathematics","authors":[{"name":"Claude D’Amours","is_ca":true},{"name":"Naser Salam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06301900237684964,"gpt":0.2512832077057425,"spread":0.1882642053288928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056943,0.000602365,0.0003617345,0.0004045563,0.0004981988,0.0006595963,0.0004457377,0.0005174029,0.001063405],"category_scores_gemma":[0.004124254,0.0003895831,0.0002835731,0.0004439608,0.0005609634,0.001006389,0.0007283575,0.0004756652,0.0003682226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854935,"about_ca_system_score_gemma":0.0005152654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003247255,"about_ca_topic_score_gemma":0.0009923021,"domain_scores_codex":[0.9995025,0.0002086223,0.00002648069,0.00006157226,0.000132551,0.00006827503],"domain_scores_gemma":[0.9981253,0.001087108,0.0001267065,0.0003273747,0.0002864462,0.00004719343],"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":[0.002875944,0.0003005928,0.005371107,0.0003040607,0.0001681466,0.0009351948,0.0004726265,0.06279757,0.3230106,0.0371318,0.001274616,0.5653577],"study_design_scores_gemma":[0.0001409676,0.001326572,0.005410623,0.0001007266,0.0003417992,0.002693434,0.00009789811,0.6721443,0.2951146,0.0119541,0.01058054,0.0000944995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1778101,0.001690313,0.8137479,0.0002594437,0.0002209392,0.00005215898,0.00004937762,0.0005253399,0.005644493],"genre_scores_gemma":[0.8050399,0.0007299385,0.1916674,0.0001260845,0.0001406754,0.00004332836,0.00006745451,0.00005657662,0.00212859],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001063405,"threshold_uncertainty_score":0.005589724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}