{"id":"W2804838829","doi":"10.1017/jns.2018.10","title":"Polyphenol-rich extract from grape and blueberry attenuates cognitive decline and improves neuronal function in aged mice","year":2018,"lang":"en","type":"article","venue":"Journal of Nutritional Science","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Regional Development Fund; Conseil Régional Aquitaine; Fonds Unique Interministériel; University of Cambridge; Bpifrance","keywords":"Cognitive decline; Hippocampal formation; Neurogenesis; Polyphenol; Synaptic plasticity; Hippocampus; Morris water navigation task; Neurotrophic factors; Neurotrophin; Neuroplasticity; Medicine; Neuroscience; Biology; Pharmacology; Internal medicine; Dementia; Biochemistry; Antioxidant","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":[0.00007398679,0.0004035565,0.000344461,0.0003685531,0.00009927306,0.0001704664,0.000192458,0.0002787999,0.0007632428],"category_scores_gemma":[0.0000593278,0.0001146038,0.0002313434,0.0001130961,0.0001176352,0.0001498155,0.0001347372,0.0004055954,0.0001655301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194463,"about_ca_system_score_gemma":0.0001251935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005658778,"about_ca_topic_score_gemma":0.0009212426,"domain_scores_codex":[0.9999547,0.000005850496,0.000004188261,0.00001169874,0.00001002888,0.00001351215],"domain_scores_gemma":[0.9999317,0.000003305357,0.00002065866,0.000006969734,0.00001057485,0.00002678798],"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":[0.0007944239,0.0001812711,0.0002541349,0.00007128297,0.00001925908,0.0000258928,0.000008830973,0.00003192791,0.9957936,0.00001409152,0.00005031284,0.002755061],"study_design_scores_gemma":[0.0001536516,0.006500988,0.03961347,0.00003519292,0.0001310249,0.000230738,0.0000437588,0.0008458291,0.948498,0.00009800745,0.003836287,0.00001303439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970217,0.001470725,0.0006050786,0.00006084745,0.0000237821,0.00001721036,0.0003557328,0.00009080807,0.0003540561],"genre_scores_gemma":[0.9926219,0.001688513,0.001975227,0.0001173666,0.00002143342,0.000049739,0.0006709525,0.0000356993,0.00281915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007632428,"threshold_uncertainty_score":0.002553284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271472294397798,"score_gpt":0.2752291258500328,"score_spread":0.248081896410253,"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."}}