{"id":"W2979863890","doi":"10.1016/j.neurobiolaging.2019.03.022","title":"Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience","year":2019,"lang":"en","type":"review","venue":"Neurobiology of Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":499,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"National Institutes of Health; Canada Research Chairs; Canadian Institutes of Health Research; Evelyn F. McKnight Brain Research Foundation; McKnight Foundation; Heart and Stroke Foundation of Canada; National Institute on Aging; Brain Research Foundation; Foundation for the National Institutes of Health","keywords":"Cognitive reserve; Cognition; Psychology; Operationalization; Cognitive psychology; Psychological resilience; Compensation (psychology); Resilience (materials science); Neuroscience; Social psychology; Cognitive impairment","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":[0.001930661,0.001221709,0.003173052,0.002876731,0.0003285871,0.001863735,0.001343276,0.00131298,0.001853564],"category_scores_gemma":[0.002627867,0.000331508,0.0007103406,0.0030426,0.001515078,0.001997589,0.001211497,0.002333302,0.0006820299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127268,"about_ca_system_score_gemma":0.002467492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004123195,"about_ca_topic_score_gemma":0.006507025,"domain_scores_codex":[0.9996451,0.00008409726,0.00007468025,0.00007642777,0.00009781295,0.00002178112],"domain_scores_gemma":[0.9987777,0.0008101996,0.0001612976,0.00002757822,0.0001789082,0.00004423008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001436867,0.00006882602,0.0007686812,0.026267,0.0003686991,0.00008642585,0.0001292286,0.00034696,0.0005276724,0.007572051,0.00846303,0.9552578],"study_design_scores_gemma":[0.00010806,0.0002838145,0.01506818,0.04117726,0.001590711,0.002176857,0.0006846834,0.000492028,0.0006766605,0.03063338,0.9069408,0.0001675472],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006212998,0.9995484,0.00004572517,0.0001578046,0.00003345903,0.000001991292,0.000009944314,0.000001383555,0.0001390641],"genre_scores_gemma":[0.000617907,0.9989787,0.0001435264,0.0000986097,0.00007522463,0.00000572564,0.00001517406,4.739402e-7,0.000064689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004123195,"threshold_uncertainty_score":0.01021039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07512923183883696,"score_gpt":0.3855158627074989,"score_spread":0.310386630868662,"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."}}