{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004050726,0.0002254961,0.0002333393,0.000367231,0.0004251285,0.0003014198,0.000521047,0.00007560889,0.0001730952],"category_scores_gemma":[0.002815094,0.0001897912,0.00005107687,0.001240675,0.002528572,0.001445742,0.000398869,0.0003552125,0.0005209483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003168221,"about_ca_system_score_gemma":0.0002887407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360699,"about_ca_topic_score_gemma":0.00009701742,"domain_scores_codex":[0.9975029,0.0002106518,0.0002973517,0.0009523527,0.0004108607,0.000625831],"domain_scores_gemma":[0.998041,0.001200201,0.000118524,0.0001632283,0.000324594,0.0001524455],"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":[0.0000313038,0.00009580867,0.002994934,0.00001032975,0.000001141802,0.0003666944,0.002658101,0.000002646082,0.96498,0.0002511147,0.000006692821,0.02860122],"study_design_scores_gemma":[0.001584759,0.0004928401,0.0591396,0.0003802454,0.00001251544,0.0002768155,0.01229514,0.000597905,0.9117644,0.01287708,0.00003598274,0.0005427078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915861,0.00007821825,0.0003891008,0.000293837,0.0002703767,0.0006075989,0.000006472419,0.00009581351,0.006672431],"genre_scores_gemma":[0.996416,0.00002159587,0.0001699992,0.00319543,0.00006122864,0.00004703777,0.000002473921,0.0000127748,0.0000734975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05614467,"threshold_uncertainty_score":0.931663,"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."}}