{"id":"W3119520742","doi":"10.4103/1673-5374.303011","title":"The neuroimaging of neurodegenerative and vascular disease in the secondary prevention of cognitive decline","year":2021,"lang":"en","type":"article","venue":"Neural Regeneration Research","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuroimaging; Dementia; Cognitive decline; Neurodegeneration; Hyperintensity; Positron emission tomography; Magnetic resonance imaging; Medicine; Disease; Neuroscience; Vascular dementia; Diffusion MRI; White matter; Cognition; Alzheimer's Disease Neuroimaging Initiative; Pathology; Psychology; Radiology","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":[0.001085447,0.0005057547,0.0008049971,0.002153702,0.0003362484,0.001297465,0.0003386177,0.0009145827,0.001360015],"category_scores_gemma":[0.001557332,0.0001437353,0.0003724667,0.001196996,0.0005149487,0.0005988959,0.0004385992,0.0008362756,0.0003754957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005941477,"about_ca_system_score_gemma":0.0009893068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157013,"about_ca_topic_score_gemma":0.004545346,"domain_scores_codex":[0.999676,0.0001723653,0.00002495786,0.00002974789,0.00006638143,0.00003056956],"domain_scores_gemma":[0.9993966,0.0002468727,0.0001488639,0.00001598183,0.0001418122,0.00004986031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006196772,0.0004183874,0.02735333,0.00704946,0.0003978849,0.002549261,0.0003297882,0.0003939693,0.007768359,0.006416651,0.01460893,0.9320943],"study_design_scores_gemma":[0.0005320429,0.004635327,0.4062495,0.02187745,0.00288027,0.05219824,0.002554301,0.00393574,0.02368461,0.05064815,0.4305693,0.000235126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02143641,0.9574974,0.002771195,0.004689543,0.0005952125,0.00006206972,0.00007668873,0.00005542652,0.01281602],"genre_scores_gemma":[0.1773831,0.8072342,0.008325336,0.001325615,0.002555767,0.0001109373,0.0001127489,0.00001297907,0.002939447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002157013,"threshold_uncertainty_score":0.005740464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05858587246228411,"score_gpt":0.402269767205331,"score_spread":0.3436838947430469,"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."}}