{"id":"W4247901367","doi":"10.1121/1.2935183","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Speech recognition; Sentence; Nonsense; Noise (video); Word (group theory); 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":[0.001095522,0.0004925003,0.0003876684,0.0003219699,0.0001245972,0.000609519,0.0002677683,0.0005474699,0.002108559],"category_scores_gemma":[0.0127064,0.0003559676,0.0002261015,0.00007930076,0.0003316009,0.0006816289,0.0004270383,0.0002826155,0.000404753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476024,"about_ca_system_score_gemma":0.0001527828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009976727,"about_ca_topic_score_gemma":0.001960952,"domain_scores_codex":[0.9991861,0.0002166709,0.0001186004,0.0001812214,0.0002378728,0.00005945991],"domain_scores_gemma":[0.9898419,0.007998584,0.00102284,0.0003921467,0.0003853161,0.0003593595],"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":[0.01037525,0.0005599809,0.1413943,0.0003171641,0.0002860231,0.0007978929,0.003791493,0.0003760757,0.7883683,0.00006508967,0.000168025,0.05350046],"study_design_scores_gemma":[0.0001093,0.007474533,0.8979601,0.0000312902,0.0002220519,0.001464778,0.0007830282,0.001454974,0.08990509,0.0001463035,0.0004042032,0.00004442495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994585,0.0001017217,0.0001678461,0.00000675826,0.000003779604,0.000005514652,0.00001959704,0.00000585607,0.0002304524],"genre_scores_gemma":[0.9984905,0.0001176879,0.0007665316,0.00002206671,0.000006026245,0.00001181317,0.00005110841,0.00001087135,0.0005233716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002108559,"threshold_uncertainty_score":0.007053792,"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."}}