{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002235742,0.0002741047,0.0002252106,0.000101183,0.0005909757,0.0002476483,0.0001160257,0.0001807708,0.007923808],"category_scores_gemma":[9.382113e-7,0.0003029805,0.0002007958,0.0004688936,0.00007396683,0.0005843689,7.301581e-7,0.0005318434,0.0008991688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187834,"about_ca_system_score_gemma":0.0002121514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.110858e-7,"about_ca_topic_score_gemma":0.000008983788,"domain_scores_codex":[0.9983509,0.00005189464,0.0003694881,0.0003624557,0.0004944679,0.0003707841],"domain_scores_gemma":[0.9994081,0.00003460384,0.00005518877,0.0001396639,0.0002243708,0.0001380735],"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":[0.00001252324,0.0001010454,0.000002440499,0.0002942077,0.00003566994,0.000007251419,0.001782311,0.3800788,0.1537081,3.683257e-7,0.002434665,0.4615426],"study_design_scores_gemma":[0.0006163098,0.00004369899,0.00007889276,0.0003133916,0.00009725863,0.00004024307,0.0009181476,0.8352589,0.1582214,0.00009291818,0.003794892,0.0005239552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03103668,0.000256586,0.9650108,0.00008169112,0.0004303497,0.0001148859,0.000009726055,0.0007367138,0.002322615],"genre_scores_gemma":[0.9949748,0.00004217581,0.002651724,0.0002945027,0.0004746416,0.00004417335,0.000008418456,0.00007743137,0.001432145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9639381,"threshold_uncertainty_score":0.9999422,"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."}}