{"id":"W4367280348","doi":"10.1121/10.0018553","title":"Perception error variation in masking contexts","year":2023,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Masking (illustration); Noise (video); Confusion; Variation (astronomy); Perception; Speech perception; Speech recognition; Computer science; Word (group theory); Mathematics; Psychology; Artificial intelligence; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00100573,0.00006113202,0.0001539403,0.00003310748,0.00009450539,0.00002205151,0.0006544113,0.0000388742,0.00004302856],"category_scores_gemma":[0.0002755605,0.00003309852,0.0002058479,0.0005919594,0.0001244521,0.0001427919,0.000133196,0.0002197217,0.0000216206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005462441,"about_ca_system_score_gemma":0.00004615099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000244317,"about_ca_topic_score_gemma":4.780827e-7,"domain_scores_codex":[0.9989218,0.000195687,0.0003005077,0.0000637363,0.0003778321,0.0001404565],"domain_scores_gemma":[0.9988164,0.0005794246,0.0002781922,0.0001881287,0.0001037883,0.00003401576],"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":[0.00008139994,0.0002345497,0.0004981621,0.00004311754,0.000144606,0.000005421337,0.01450879,0.009534176,0.1022851,0.0001335829,0.02916519,0.8433659],"study_design_scores_gemma":[0.0002881153,0.0000793444,0.06947143,0.00007754614,0.00003855883,0.00003730408,0.002270468,0.9229913,0.0003299863,0.003903355,0.0004393532,0.00007328509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03901394,0.00001985632,0.9451696,0.01526917,0.0002630562,0.00007519771,0.000001199769,0.0000205576,0.0001673706],"genre_scores_gemma":[0.9120896,0.0001476405,0.08631983,0.001294139,0.00007608246,7.92548e-7,9.400072e-8,0.000004767282,0.00006706724],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9134571,"threshold_uncertainty_score":0.1349718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451895056386362,"score_gpt":0.2736917242615607,"score_spread":0.2491727736976971,"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."}}