{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054792,0.00006322809,0.0001669899,0.0002575167,0.00006803172,0.000003648498,0.0003511684,0.00002332652,0.00001855931],"category_scores_gemma":[0.00001998152,0.0000856805,0.00005837265,0.0004417485,0.0001234071,0.000295582,0.0004218543,0.00007727297,4.145427e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000538742,"about_ca_system_score_gemma":0.00008642266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008272456,"about_ca_topic_score_gemma":0.0000128639,"domain_scores_codex":[0.999187,0.00009985217,0.0001274303,0.0001826585,0.000311629,0.00009142173],"domain_scores_gemma":[0.9994585,0.000066742,0.0001723662,0.0001811091,0.00008447591,0.00003681779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003241847,0.001949308,0.8226439,0.001579067,0.0004979123,0.0000918033,0.02353397,0.0005634142,0.004845944,0.09837735,0.006255367,0.03933775],"study_design_scores_gemma":[0.001293519,0.0007184537,0.97864,0.0001582668,0.00005745878,0.00001207297,0.001419023,0.009182458,0.007462443,0.0002963502,0.000559833,0.0002001337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670936,0.0001236471,0.03125708,0.00007560258,0.00006315664,0.0002474022,0.00004336604,0.00005012164,0.001046055],"genre_scores_gemma":[0.995055,0.00006901111,0.004665026,0.000009580012,0.000002259311,0.000001102665,0.000002481247,0.000002784373,0.000192823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559961,"threshold_uncertainty_score":0.3493949,"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."}}