{"id":"W4285547440","doi":"10.1109/tsp.2020.3046152","title":"IEEE Signal Processing Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"Chinese University of Hong Kong; Technische Universiteit Delft; Centre National de la Recherche Scientifique; King Abdullah University of Science and Technology; Stony Brook University; Ben-Gurion University of the Negev; Institut national de recherche en informatique et en automatique (INRIA); Carnegie Mellon University","keywords":"Signal processing; Computer science; Multidimensional signal processing; Digital signal processing; Speech recognition; Computer hardware","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00119816,0.00137503,0.0008834002,0.002300024,0.0008641273,0.003813347,0.001307218,0.002250737,0.10217],"category_scores_gemma":[0.003242306,0.0003999065,0.0006351816,0.001965955,0.000671624,0.001885079,0.001706937,0.002738403,0.1339139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540085,"about_ca_system_score_gemma":0.001449929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959496,"about_ca_topic_score_gemma":0.001148884,"domain_scores_codex":[0.9985745,0.0001481406,0.0001125908,0.0003239994,0.0007401003,0.0001007001],"domain_scores_gemma":[0.996938,0.0002283576,0.00007308619,0.0004868917,0.002126245,0.0001474213],"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":[0.0001699942,0.00006648283,0.0005409757,0.0002714043,0.00005661237,0.0002688247,0.00008529346,0.001802633,0.01217709,0.01522062,0.3079121,0.661428],"study_design_scores_gemma":[0.00002856947,0.00009320641,0.0007251938,0.0001721156,0.00003268279,0.0006562856,0.00006856558,0.01129013,0.004696767,0.01140184,0.9707865,0.00004830839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004738557,0.02016244,0.555752,0.009731794,0.01899129,0.0005315378,0.003456379,0.0126924,0.3739437],"genre_scores_gemma":[0.07462069,0.02594538,0.1719123,0.005575106,0.007868851,0.0007306584,0.01634714,0.001690063,0.6953098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8978299,"threshold_uncertainty_score":0.3417928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746989205493848,"score_gpt":0.2766273796194514,"score_spread":0.239157487564513,"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."}}