{"id":"W4321611503","doi":"10.1097/wad.0000000000000549","title":"Gray Matter Volume as Evidence for Cognitive Reserve in Bilinguals With Mild Cognitive Impairment","year":2023,"lang":"en","type":"article","venue":"Alzheimer Disease & Associated Disorders","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto; Carleton University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; National Institutes of Health; Morris Kerzner Memorial Fund","keywords":"Cognitive reserve; Neuropathology; Neuroscience of multilingualism; Cognition; Psychology; Atrophy; Audiology; Cognitive impairment; Dementia; Neurodegeneration; Language impairment; Disease; Developmental psychology; Medicine; Neuroscience; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003136485,0.0002566609,0.0002009965,0.0008259022,0.0003568842,0.0003258307,0.0001166106,0.0002231243,0.002445576],"category_scores_gemma":[0.001181922,0.0001252761,0.0001482518,0.0002454273,0.0004276155,0.0001981358,0.0003581506,0.0001981306,0.00015606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340927,"about_ca_system_score_gemma":0.0002450146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003006557,"about_ca_topic_score_gemma":0.005645122,"domain_scores_codex":[0.9999332,0.00001429215,0.000009251392,0.00001456398,0.00001353705,0.00001502395],"domain_scores_gemma":[0.9993083,0.0001140122,0.0003344083,0.00003720747,0.00005548764,0.0001504858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001320536,0.0000782991,0.9885456,0.00002631962,0.00004303563,0.0009162098,0.000290048,0.00006788694,0.005863846,0.00004460676,0.00008558477,0.002718169],"study_design_scores_gemma":[0.00001708405,0.0001696309,0.9970863,0.00000626065,0.00001660959,0.0018934,0.0001554569,0.0001287857,0.0003994029,0.00005576507,0.00006861492,0.00000264926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994943,0.00008255123,0.00002053127,0.0000116077,0.000001397186,0.000002172277,0.0000364283,0.000001999182,0.0003489477],"genre_scores_gemma":[0.9998203,0.00002074096,0.00003463312,0.000008233489,0.000002704634,0.000001955321,0.00004644166,7.895316e-7,0.00006419183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003006557,"threshold_uncertainty_score":0.008181274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066372735878265,"score_gpt":0.3776968680872934,"score_spread":0.3270331407285108,"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."}}