{"id":"W4410347682","doi":"10.1161/strokeaha.124.048900","title":"MRI Predictors of Cognitive Function After Lacunar Infarction","year":2025,"lang":"en","type":"article","venue":"Stroke","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Montreal Cognitive Assessment; Magnetic resonance imaging; Lacunar stroke; Cognition; Atrophy; Stroke (engine); Cardiology; Internal medicine; Physical therapy; Physical medicine and rehabilitation; Cognitive impairment; Radiology; Psychiatry; Ischemia; Ischemic stroke","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005702741,0.0004208413,0.0003401907,0.00100058,0.0003954225,0.0007175372,0.0003812439,0.0003910886,0.001213051],"category_scores_gemma":[0.004251122,0.0002005086,0.0002255561,0.0008193518,0.0002885798,0.0003476561,0.0003411389,0.0007461634,0.0002409825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172392,"about_ca_system_score_gemma":0.0003671574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004504465,"about_ca_topic_score_gemma":0.006611781,"domain_scores_codex":[0.9997943,0.00003430613,0.0000300243,0.00003905323,0.00004801481,0.00005426173],"domain_scores_gemma":[0.9970168,0.0003518258,0.001603072,0.0001170152,0.0003599554,0.000551336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001305644,0.00002811343,0.9987881,0.000005455675,0.00002787803,0.00008780545,0.00002334587,0.00005027972,0.00007958066,0.000006858715,0.00007020933,0.0007019092],"study_design_scores_gemma":[0.000005463989,0.00006459194,0.9993337,0.000003980986,0.00002269136,0.0002557693,0.00003539839,0.0001524761,0.00004474862,0.00002081341,0.00005781504,0.000002653454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988475,0.0003641658,0.00004364631,0.00006006848,0.000005905331,0.000006343173,0.0001932635,0.000005810707,0.0004731443],"genre_scores_gemma":[0.999496,0.0000842634,0.00003490205,0.00001584034,0.00002166539,0.000003271228,0.0002609255,0.000001345251,0.00008173657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504465,"threshold_uncertainty_score":0.008956492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007146893288374221,"score_gpt":0.2863748293277448,"score_spread":0.2792279360393706,"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."}}