{"id":"W6887857238","doi":"10.17863/cam.82516","title":"Prevalence, and Predictors, of Vascular Cognitive Impairment in CADASIL","year":2022,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; University College London Hospitals NHS Foundation Trust; Cambridge University Hospitals; University College London; University of Cambridge","keywords":"CADASIL; Stroke (engine); Cohort; Cognitive impairment; Cognition; Leukoencephalopathy; Montreal Cognitive Assessment; Cohort study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005423855,0.0003262202,0.0003556054,0.001406374,0.0003848374,0.0006531862,0.0003352641,0.0004663686,0.001291778],"category_scores_gemma":[0.002181937,0.0002176573,0.0002781081,0.0007208689,0.000345337,0.0003051004,0.0003171602,0.0004667186,0.0001404224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711681,"about_ca_system_score_gemma":0.0002016226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004544921,"about_ca_topic_score_gemma":0.004311215,"domain_scores_codex":[0.9996631,0.00005169246,0.00005222803,0.0001002479,0.0000784218,0.00005435835],"domain_scores_gemma":[0.9986694,0.000292834,0.0005343149,0.00007323134,0.0001884389,0.0002418044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001083987,0.00001836516,0.9984246,0.000006799899,0.00003197346,0.0001801851,0.00003144746,0.00002728747,0.0001359478,0.000008222372,0.00003426809,0.0009924442],"study_design_scores_gemma":[0.000003888646,0.00006137233,0.9989436,0.000004277145,0.00001778841,0.0007339295,0.00004563715,0.0001042798,0.00003656219,0.0000222412,0.00002478141,0.000001718689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993303,0.0002830702,0.00002574066,0.00002102312,0.000003213665,0.000002179058,0.0001045473,0.000003392087,0.0002265786],"genre_scores_gemma":[0.9997585,0.00005559772,0.0000177495,0.000005848043,0.000007361979,7.708761e-7,0.000123106,4.52419e-7,0.00003053365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004544921,"threshold_uncertainty_score":0.009036899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006000635929904089,"score_gpt":0.1962966296245901,"score_spread":0.190295993694686,"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."}}