{"id":"W2395056813","doi":"","title":"Comprehension cueing strategies in elderly: a window into cognitive decline?","year":2013,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Comprehension; Cognitive decline; Psychology; Utterance; Sentence; Cognitive psychology; Audiology; Vocabulary; Montreal Cognitive Assessment; Analysis of variance; Developmental psychology; Linguistics; Cognitive impairment; Medicine; Dementia; Statistics; Computer science; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005861296,0.0003153656,0.0003977275,0.0006129856,0.0001920326,0.0005113902,0.0001834166,0.0004384232,0.001104324],"category_scores_gemma":[0.00232387,0.0001303553,0.0001672091,0.0003221099,0.0003410604,0.0006428561,0.0002931011,0.0002616584,0.0001912357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625123,"about_ca_system_score_gemma":0.0001967495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003706307,"about_ca_topic_score_gemma":0.004016805,"domain_scores_codex":[0.999887,0.00002135647,0.00001495075,0.00002894691,0.00002434647,0.00002349799],"domain_scores_gemma":[0.9991284,0.0002293322,0.0003341221,0.00005209645,0.000154851,0.000101253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008566694,0.0002209822,0.954351,0.00009069091,0.00006343998,0.0007788895,0.005427508,0.00007067408,0.01625575,0.00006098695,0.0001737703,0.02164971],"study_design_scores_gemma":[0.000005912749,0.00026786,0.9971137,0.000007900928,0.00002151791,0.0003285287,0.001343907,0.0001015062,0.000535504,0.0001189517,0.0001498371,0.000004853279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994423,0.0002444281,0.00007257628,0.00001661003,0.000001681516,0.000003350613,0.00003817071,0.000002197275,0.0001785624],"genre_scores_gemma":[0.999642,0.00007709899,0.00008551425,0.00001685329,0.000004650627,0.000003863734,0.00003280158,9.55264e-7,0.0001362137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003706307,"threshold_uncertainty_score":0.007369459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384828883316015,"score_gpt":0.328927343873154,"score_spread":0.2950790550399938,"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."}}