{"meta":{"query_hash":"fa4591f5530c","filters":{"venue":"2021 29th European Signal Processing Conference (EUSIPCO)"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/fa4591f5530c","api":"https://metacan.xera.ac/api/v1/cohort?venue=2021+29th+European+Signal+Processing+Conference+%28EUSIPCO%29"},"results":[{"id":"W4205939829","doi":"10.23919/eusipco54536.2021.9616098","title":"Longitudinal Assessment of EEG Biometrics under Auditory Stimulation: A Deep Learning Approach","year":2021,"lang":"en","type":"article","venue":"2021 29th European Signal Processing Conference (EUSIPCO)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Convolution (computer science); Biometrics; Electroencephalography; Speech recognition; Artificial intelligence; Session (web analytics); Pattern recognition (psychology); Encoding (memory); Artificial neural network; Psychology","score_opus":0.07929043544005782,"score_gpt":0.31807344684797173,"score_spread":0.23878301140791391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205939829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1735424,0.0014242076,0.8220361,0.0004822556,0.00005765588,0.000070098205,0.00042799354,0.00070882885,0.0012503514],"genre_scores_gemma":[0.88761324,0.00054160034,0.10916032,0.00013165544,0.000055368604,0.00006920574,0.00039115845,0.000024752973,0.0020127269],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99969506,0.000082390674,0.000025964098,0.000083587,0.00007177249,0.000041218227],"domain_scores_gemma":[0.999398,0.00018870988,0.000102776445,0.00007965553,0.00017290225,0.000057910915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080410164,0.0005351752,0.00035643182,0.00060688524,0.0001500493,0.00037920775,0.00045601086,0.00046845575,0.00081345416],"category_scores_gemma":[0.0017161228,0.0001626528,0.0003052721,0.000434294,0.00018756102,0.0005201795,0.00069825136,0.00058356376,0.00033397914],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067564315,0.00042987408,0.031900577,0.0001910852,0.0002006578,0.00034914087,0.00015424339,0.06511326,0.10178075,0.0013768583,0.0015151299,0.7963127],"study_design_scores_gemma":[0.000019404262,0.0006278287,0.03166117,0.000036116213,0.00009240848,0.0006119737,0.00009356913,0.92693245,0.034793206,0.003281835,0.0018121732,0.000037878683],"about_ca_topic_score_codex":0.0013691793,"about_ca_topic_score_gemma":0.002820206,"teacher_disagreement_score":0.0013691793,"about_ca_system_score_codex":0.000251804,"about_ca_system_score_gemma":0.00037754216,"threshold_uncertainty_score":0.0042524934},"labels":[],"label_agreement":null},{"id":"W4206753990","doi":"10.23919/eusipco54536.2021.9616283","title":"End-to-End Generative Adversarial Face Hallucination Through Residual In Internal Dense Network","year":2021,"lang":"en","type":"article","venue":"2021 29th European Signal Processing Conference (EUSIPCO)","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Confederation College; Lakehead University","funders":"University of British Columbia","keywords":"Hallucinating; Discriminator; Artificial intelligence; Computer science; Face (sociological concept); Face hallucination; Residual; Pixel; Computer vision; Generator (circuit theory); Inpainting; Exploit; Pattern recognition (psychology); Image (mathematics); Facial recognition system; Face detection; Algorithm","score_opus":0.034582219154815845,"score_gpt":0.291294270939618,"score_spread":0.25671205178480216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206753990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022894653,0.00014709278,0.974189,0.000138127,0.00004303669,0.000044136672,0.000054464523,0.00067109236,0.0018184064],"genre_scores_gemma":[0.7987936,0.0001982754,0.19206555,0.00031083197,0.000045059278,0.00014102011,0.00037841612,0.00016798424,0.00789926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997626,0.000059973074,0.0000076105616,0.0000547484,0.00007437692,0.000040706127],"domain_scores_gemma":[0.9996418,0.00016043172,0.00003487227,0.00006650823,0.0000618628,0.000034465404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061334006,0.00080420275,0.0005689022,0.00021175893,0.00019676094,0.00038716817,0.0010992781,0.00063498056,0.0023347072],"category_scores_gemma":[0.001531181,0.00025678723,0.00042507198,0.00016447032,0.0006568005,0.00074195047,0.0015831777,0.0011002551,0.00055615674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003035273,0.000083928506,0.0008834378,0.00008428545,0.00007126405,0.00026250043,0.000104695646,0.8088403,0.02291057,0.008356121,0.003042743,0.15505672],"study_design_scores_gemma":[0.00000592746,0.000037190628,0.000062395186,0.000002816487,0.000004315573,0.000054571985,0.0000070498486,0.99336606,0.0035792391,0.002510213,0.00036575197,0.0000044558515],"about_ca_topic_score_codex":0.0011172555,"about_ca_topic_score_gemma":0.001607286,"teacher_disagreement_score":0.0023347072,"about_ca_system_score_codex":0.00033216382,"about_ca_system_score_gemma":0.00035866824,"threshold_uncertainty_score":0.007810414},"labels":[],"label_agreement":null}]}