{"id":"W1970497372","doi":"10.1121/1.4777824","title":"A cross-linguistic study of informational masking: English versus Chinese","year":2006,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Masking (illustration); Mandarin Chinese; Linguistics; Speech recognition; Psychology; Computer science; Noise (video); Artificial intelligence; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009103037,0.0003286829,0.0002826575,0.0004583063,0.0003649389,0.0003545192,0.0002491166,0.00028457,0.001284835],"category_scores_gemma":[0.003692702,0.0002317218,0.0002283812,0.0003086739,0.0007031883,0.0004651237,0.0006070513,0.0003868422,0.0001558191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475005,"about_ca_system_score_gemma":0.0004190539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006485153,"about_ca_topic_score_gemma":0.00858717,"domain_scores_codex":[0.9997063,0.00004419325,0.00003278127,0.00007597607,0.00009753212,0.00004327483],"domain_scores_gemma":[0.9986144,0.0006593338,0.000239842,0.0001336464,0.000194338,0.0001584054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00820383,0.0006527888,0.07545754,0.0003998873,0.0002127867,0.0008996607,0.009947791,0.0001969759,0.8788098,0.0004439544,0.0001281835,0.0246468],"study_design_scores_gemma":[0.0001254054,0.00183151,0.9445509,0.00001161119,0.0001648734,0.001222244,0.001693825,0.0005750357,0.0491573,0.0001704528,0.0004495494,0.00004730676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994056,0.00004164378,0.0001064117,0.000007110353,0.000002014541,0.000006787063,0.00001174142,9.559337e-7,0.0004177066],"genre_scores_gemma":[0.9992251,0.00005882196,0.0002550919,0.00003924584,0.000006039548,0.00001489621,0.0000497917,0.000004543972,0.0003463762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006485153,"threshold_uncertainty_score":0.01289481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721224020562255,"score_gpt":0.302528132115333,"score_spread":0.2853158919097105,"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."}}