{"id":"W4321483813","doi":"10.1109/tci.2023.3242463","title":"IEEE Signal Processing Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Imaging","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Universidad Industrial de Santander; Rheinische Friedrich-Wilhelms-Universität Bonn; Università di Pisa; Technische Universität München; Purdue University; University of Memphis; Heriot-Watt University; York University; Xiamen University; Technion-Israel Institute of Technology; Nvidia; Instituto de Telecomunicações; Temple University; Argonne National Laboratory; Seoul National University; Instituto Superior Técnico; University of Bristol; University of Leeds; Universiteit Antwerpen; Mitsubishi Electric Research Laboratories; Tsinghua University; University of Southern California","keywords":"Signal processing; Computer science; Multidimensional signal processing; Computer vision; Digital signal processing; Computer hardware","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001760692,0.0001307442,0.0000853,0.0002290376,0.0003122951,0.0001292972,0.00006775717,0.00003787323,0.001110003],"category_scores_gemma":[7.989316e-7,0.00015212,0.00009532448,0.0004157741,0.00003490262,0.0009338594,4.449182e-7,0.0001917305,0.005638059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377237,"about_ca_system_score_gemma":0.00004234726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.306065e-7,"about_ca_topic_score_gemma":9.338905e-7,"domain_scores_codex":[0.9990698,0.00001885926,0.0002491116,0.0001122879,0.0003623297,0.000187606],"domain_scores_gemma":[0.9996786,0.00005441003,0.00003209525,0.00006217404,0.0001160123,0.00005675623],"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":[0.000002549983,0.000008956396,0.000004969144,0.00003404632,0.00001176007,3.929422e-7,0.0009876342,0.8463789,0.0005764985,0.000001877013,0.01408974,0.1379027],"study_design_scores_gemma":[0.0002862757,0.000007423093,0.001053331,0.00003050925,0.00001230168,0.000005547653,0.0002804708,0.9953066,0.0005031808,0.0002622012,0.002090777,0.000161398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0225297,0.000005243351,0.9743272,0.0001815318,0.0007379891,0.0001188497,0.00001977037,0.001281126,0.0007985966],"genre_scores_gemma":[0.9966486,0.000008776198,0.002589563,0.0003242333,0.0001506214,0.00003908161,0.00006350645,0.00002369367,0.0001518953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9741189,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256691983323955,"score_gpt":0.268456017503437,"score_spread":0.2458890976701974,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}