{"id":"W4386171469","doi":"10.1016/j.arr.2023.102042","title":"Vascular cognitive impairment – Past, present, and future challenges","year":2023,"lang":"en","type":"review","venue":"Ageing Research Reviews","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec - Santé; David och Astrid Hageléns Stiftelse; Vetenskapsrådet; Stockholms Läns Landsting; Stiftelsen Olle Engkvist Byggmästare; Alzheimerfonden; Hjärnfonden; Stiftelsen för Gamla Tjänarinnor; Center for Innovative Medicine; Karolinska Institutet; Loo och Hans Ostermans Stiftelse för Medicinsk Forskning","keywords":"Dementia; Disease; Cognition; Psychology; Cognitive impairment; Neuroimaging; Neuroscience; Leverage (statistics); Vascular dementia; Genetic predisposition; Bioinformatics; Medicine; Pathology; Biology","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":[0.001337603,0.0007273586,0.001495751,0.001867777,0.0003929428,0.001821832,0.0007792421,0.00144986,0.00322631],"category_scores_gemma":[0.001994666,0.0002312135,0.0007990733,0.001675623,0.0006025764,0.002084125,0.0008339389,0.002018757,0.001189435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979266,"about_ca_system_score_gemma":0.002484343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070289,"about_ca_topic_score_gemma":0.004431036,"domain_scores_codex":[0.9996104,0.0001051705,0.00007177723,0.00005914699,0.0001098175,0.00004368465],"domain_scores_gemma":[0.9989686,0.0005386617,0.000126543,0.00002377669,0.0002692355,0.00007316894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009573983,0.00004109237,0.0003275137,0.02316515,0.0001508949,0.0002785238,0.0001793031,0.0002962869,0.0005656672,0.006009101,0.04388175,0.925009],"study_design_scores_gemma":[0.00001938941,0.0001305214,0.001835146,0.02413777,0.0003293091,0.00295518,0.0004684689,0.0001856761,0.0002214576,0.009239284,0.9604342,0.00004361778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008530775,0.9981025,0.00006157663,0.00107315,0.0002500221,0.00000151922,0.00001071205,0.000005189672,0.0004100773],"genre_scores_gemma":[0.0007578679,0.998004,0.0001508842,0.0004333161,0.0003892446,0.000003048433,0.00001790828,0.000001509668,0.0002421557],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00322631,"threshold_uncertainty_score":0.01079309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292602423983518,"score_gpt":0.4512073072408614,"score_spread":0.2219470648425096,"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."}}