{"id":"W2041785618","doi":"10.1121/1.2935180","title":"The effect of masker type and word-position on word recall and sentence understanding","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Word (group theory); Nonsense; Sentence; Speech recognition; Noise (video); Masking (illustration); Computer science; Utterance; Recall; Acoustics; Mathematics; Psychology; Artificial intelligence; Physics; Cognitive psychology","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":[0.001061064,0.0005074699,0.000391337,0.0003074838,0.0001275413,0.0006058161,0.0002614661,0.0005459845,0.002047623],"category_scores_gemma":[0.0119139,0.0003580915,0.0002331881,0.00007712485,0.0003296665,0.0006640339,0.0004280913,0.0002789661,0.000392887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453491,"about_ca_system_score_gemma":0.0001549125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000966537,"about_ca_topic_score_gemma":0.001927213,"domain_scores_codex":[0.9992288,0.0002071597,0.0001121006,0.0001692954,0.0002261218,0.0000565085],"domain_scores_gemma":[0.9904265,0.007593486,0.0009280042,0.0003606945,0.0003471142,0.0003442539],"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":[0.009679113,0.0005069978,0.1169574,0.0003094633,0.0002754306,0.0007061051,0.003510505,0.0003509673,0.8182801,0.00006042117,0.0001467065,0.04921672],"study_design_scores_gemma":[0.0001171289,0.007771627,0.890669,0.00003252224,0.0002398457,0.001442106,0.0008081426,0.001528124,0.09676715,0.0001557375,0.000420952,0.00004761691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994759,0.00009413548,0.0001696261,0.000006391994,0.000003731967,0.000005519458,0.00001876396,0.000005372905,0.0002206685],"genre_scores_gemma":[0.9983951,0.0001222748,0.0008507888,0.00002224353,0.000006048977,0.00001266004,0.00005384786,0.00001045519,0.0005264858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002047623,"threshold_uncertainty_score":0.006850004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150320567535182,"score_gpt":0.2760215708223866,"score_spread":0.2445183651470348,"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."}}