{"id":"W1976149731","doi":"10.1037/0096-1523.30.6.1077","title":"Does the Information Content of an Irrelevant Source Differentially Affect Spoken Word Recognition in Younger and Older Adults?","year":2004,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affect (linguistics); Psychology; Cognition; Noise (video); Audiology; Word (group theory); Word recognition; Communication; Linguistics; Computer science; Medicine; Reading (process); Artificial intelligence","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":[0.0009134854,0.000315923,0.0005328991,0.0005565321,0.0002063194,0.0005985943,0.0001779069,0.0007231951,0.002031319],"category_scores_gemma":[0.005405413,0.0002296849,0.000257067,0.0001671912,0.0003300492,0.0006384897,0.0002809863,0.0003199891,0.000585938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804214,"about_ca_system_score_gemma":0.0001249869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404175,"about_ca_topic_score_gemma":0.003502896,"domain_scores_codex":[0.9997085,0.00002917959,0.00005151566,0.00006947909,0.0001037348,0.00003762258],"domain_scores_gemma":[0.997694,0.0008112516,0.0007961434,0.0001065314,0.0003116056,0.0002804339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006738176,0.000919789,0.6135598,0.0004354611,0.0002880919,0.002133566,0.01293388,0.000156792,0.2895056,0.0001740678,0.0009886132,0.07216616],"study_design_scores_gemma":[0.0000703666,0.001180159,0.9902703,0.00001728377,0.00009669006,0.000869033,0.001298485,0.0002017019,0.005426297,0.0001408375,0.0004115028,0.00001738418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991415,0.0002053178,0.00008509697,0.00005030412,0.00001037694,0.000007903688,0.00004226267,0.000003371002,0.0004539208],"genre_scores_gemma":[0.9987174,0.0002076408,0.0002199705,0.000177315,0.00002047954,0.00001092536,0.0000747231,0.000004850156,0.0005667437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002404175,"threshold_uncertainty_score":0.006795466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909779265143248,"score_gpt":0.326554839295847,"score_spread":0.2874570466444145,"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."}}