{"id":"W2109781405","doi":"","title":"THE EFFECT OF MASKER TYPE AND WORD POSITION ON IMMEDIATE SENTENCE RECALL","year":2008,"lang":"en","type":"article","venue":"Proceedings of Fechner Day","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Masking (illustration); Noise (video); Speech recognition; Nonsense; Sentence; Word (group theory); Computer science; QUIET; Acoustics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001724696,0.00073661,0.0008254923,0.0003409176,0.0001975143,0.0009085031,0.0007244743,0.0009032854,0.004503721],"category_scores_gemma":[0.0163071,0.0004929549,0.0002516753,0.0001416352,0.0004677974,0.0007969604,0.0007070003,0.0006235535,0.0007582902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818142,"about_ca_system_score_gemma":0.0002738501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371607,"about_ca_topic_score_gemma":0.001987997,"domain_scores_codex":[0.9986798,0.0003451158,0.0002469664,0.0002769196,0.0002954242,0.0001558126],"domain_scores_gemma":[0.9805316,0.01610201,0.001304199,0.0007993944,0.0005020002,0.0007607047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05572233,0.001647112,0.01691664,0.0003542064,0.0002333111,0.0004496822,0.0008976143,0.0005476947,0.8844351,0.00006673443,0.000231776,0.03849783],"study_design_scores_gemma":[0.001219996,0.05871779,0.4802515,0.0001208231,0.0008692445,0.001905372,0.0007271965,0.004674711,0.4491391,0.0005743786,0.001638058,0.0001618576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987871,0.000295746,0.0002773829,0.00002321553,0.00002609985,0.00001757298,0.00007258939,0.00001751257,0.0004828029],"genre_scores_gemma":[0.9955192,0.0002733684,0.001068045,0.00008446975,0.00003942191,0.00006173506,0.0002158519,0.00004959842,0.002688309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004503721,"threshold_uncertainty_score":0.01506644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543962150850673,"score_gpt":0.2505007808901206,"score_spread":0.2350611593816138,"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."}}