{"id":"W4285067759","doi":"10.1109/ojsp.2021.3049994","title":"IEEE Signal Processing Society","year":2021,"lang":"en","type":"article","venue":"IEEE Open Journal of Signal Processing","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Signal processing; Computer science; SIGNAL (programming language); Political science; Digital signal processing; 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":[],"consensus_categories":[],"category_scores_codex":[0.001462249,0.001328657,0.0007872945,0.002300592,0.0008179005,0.003150572,0.001058318,0.001744597,0.08804008],"category_scores_gemma":[0.002620496,0.0003853854,0.0005700901,0.001819949,0.0005818761,0.001583652,0.00157978,0.00246371,0.1000688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006597313,"about_ca_system_score_gemma":0.00136648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003050643,"about_ca_topic_score_gemma":0.002234387,"domain_scores_codex":[0.9989516,0.0001544284,0.00009165231,0.0002416758,0.0004812719,0.00007939855],"domain_scores_gemma":[0.9971209,0.0002303565,0.0000803644,0.0005077239,0.001912824,0.0001478153],"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":[0.0001911476,0.00008215272,0.0006238139,0.000222412,0.00006282873,0.0002643992,0.0001074187,0.001886331,0.01520087,0.01207251,0.2576269,0.7116592],"study_design_scores_gemma":[0.0000329825,0.0001373963,0.001293288,0.0002068533,0.00004262485,0.0006622596,0.0001014833,0.01897262,0.0065762,0.009415467,0.9625081,0.00005081289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006034402,0.0173307,0.6310986,0.00829394,0.01505853,0.00047204,0.002844708,0.01173378,0.3071334],"genre_scores_gemma":[0.07285095,0.01655869,0.1974355,0.003480162,0.004800618,0.0006470222,0.01397287,0.001329235,0.688925],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08804008,"threshold_uncertainty_score":0.2945234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862535549074194,"score_gpt":0.316063974684601,"score_spread":0.2574386191938591,"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."}}