{"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27603784,0.00052021275,0.66289306,0.00013997956,0.00044207592,0.00020458866,0.000009615778,0.00017540097,0.059577234],"genre_scores_gemma":[0.989666,0.00003527041,0.007744487,0.0001858158,0.00033154307,0.0000054391107,0.000025369374,0.00005765277,0.0019484446],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99587065,0.00095627253,0.00067519513,0.0010796722,0.0009092561,0.00050896686],"domain_scores_gemma":[0.99791324,0.00039355253,0.0005226759,0.00035363564,0.00063605735,0.00018086327],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000724465,0.00037406446,0.00045906397,0.00037561762,0.00043703403,0.00059779076,0.0006609017,0.00008766984,0.0007103888],"category_scores_gemma":[0.00033018016,0.0003584689,0.00013919864,0.001822518,0.00031761674,0.0005160875,0.00048913,0.0006869458,0.000058662667],"study_design_candidate":"simulation_or_modeling","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":[0.00005270142,0.0010826692,0.008813501,0.00078092364,0.00007737209,0.00046925372,0.0017537981,0.070523016,0.6795199,0.0026286165,0.00029296067,0.23400529],"study_design_scores_gemma":[0.0016963318,0.0005713589,0.07098399,0.0008111,0.0001458178,0.00030597032,0.0013004029,0.84484124,0.07357517,0.00036763097,0.0040358063,0.0013651835],"about_ca_topic_score_codex":0.0000041684475,"about_ca_topic_score_gemma":0.0000012315157,"teacher_disagreement_score":0.7743182,"about_ca_system_score_codex":0.00008392739,"about_ca_system_score_gemma":0.00060061825,"threshold_uncertainty_score":0.99988675},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023954734,0.0007740332,0.9763094,0.0014937049,0.00030939883,0.00026517705,0.000007333103,0.00037147623,0.01807399],"genre_scores_gemma":[0.5370399,0.00003602474,0.46034443,0.0009784086,0.0004892056,0.000018271943,0.000022025424,0.000048271435,0.0010234889],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951501,0.00090554304,0.0007969574,0.001503341,0.00079240586,0.0008516924],"domain_scores_gemma":[0.9976024,0.00015642753,0.00041184115,0.0006563063,0.00097199937,0.00020100652],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010267781,0.00051193376,0.00049426634,0.00019195469,0.0004207698,0.0013674153,0.0016050254,0.00011157385,0.00026624845],"category_scores_gemma":[0.00039019063,0.0005415618,0.00008138503,0.0014638104,0.00019015244,0.00253011,0.0014234707,0.00078864914,0.00013619768],"study_design_candidate":"design_other","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":[0.00017376446,0.0003332699,0.00042536276,0.00014925093,0.00005974433,0.0027722318,0.015678035,0.0069427723,0.06972872,0.010689194,0.002603311,0.89044434],"study_design_scores_gemma":[0.005388177,0.0012142971,0.005571492,0.00671213,0.00015022406,0.0010082809,0.0020083145,0.70772904,0.16564298,0.0624077,0.036574606,0.005592764],"about_ca_topic_score_codex":0.000035892568,"about_ca_topic_score_gemma":0.00008796564,"teacher_disagreement_score":0.8848516,"about_ca_system_score_codex":0.00022607665,"about_ca_system_score_gemma":0.0012273542,"threshold_uncertainty_score":0.9997036},"labels":[],"label_agreement":null}]}