{"id":"W6977398494","doi":"10.6084/m9.figshare.29857312.v1","title":"Additional file 1 of Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Neuroimaging; Cognitive impairment; Cognition; MEDLINE; Deep learning; Systematic review","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004779738,0.002061371,0.004330412,0.006238639,0.0005976295,0.002225102,0.002235523,0.002022663,0.7817125],"category_scores_gemma":[0.07399184,0.001294905,0.00679909,0.007627416,0.0004486144,0.002490185,0.001531619,0.001335372,0.03240585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397487,"about_ca_system_score_gemma":0.002926033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937006,"about_ca_topic_score_gemma":0.0137903,"domain_scores_codex":[0.9974216,0.0007768634,0.0008145473,0.0004881412,0.0003228118,0.0001759661],"domain_scores_gemma":[0.9227866,0.06791282,0.005198089,0.001329257,0.002382341,0.0003909385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003445031,0.0002060691,0.004566927,0.642064,0.009861128,0.0001653384,0.0001866574,0.001247574,0.0003561724,0.002679087,0.3029818,0.03224001],"study_design_scores_gemma":[0.1111743,0.002459569,0.07917541,0.217134,0.08872431,0.001867516,0.0008004975,0.008314898,0.001762073,0.03420096,0.4535137,0.0008729836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000906081,0.003370201,0.001258166,0.0003380423,0.0001157105,0.001162946,0.991582,0.0003329576,0.0009339711],"genre_scores_gemma":[0.08292249,0.01778415,0.05355712,0.00647884,0.001294332,0.07284814,0.7277218,0.001734069,0.03565908],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7817125,"threshold_uncertainty_score":0.3113607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06932954832403372,"score_gpt":0.2517066951939263,"score_spread":0.1823771468698926,"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."}}