{"id":"W6891651941","doi":"10.3969/j.issn.1673-5765.2025.03.010","title":"血清IL-6、CysC、T3水平和影像学总负荷评分与脑小血管病患者认知障碍的相关性分析 Correlation Analysis of Serum IL-6, CysC, T3 Levels, and Total Imaging Burden Score with Cognitive Impairment in Patients with Cerebral Small Vessel Disease","year":2025,"lang":"zh","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive impairment; Logistic regression; Cognition; Disease; Correlation; Cystatin C; Multivariate analysis; Montreal Cognitive Assessment","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":[0.0004945377,0.0002551506,0.0002467212,0.0006388702,0.0002087105,0.0006755811,0.0001764602,0.0003335684,0.001185103],"category_scores_gemma":[0.001639569,0.0001462808,0.0006130929,0.000580514,0.0002345789,0.0003544112,0.0001978702,0.0005681438,0.0001570114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695902,"about_ca_system_score_gemma":0.0003941132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004192874,"about_ca_topic_score_gemma":0.003837581,"domain_scores_codex":[0.9997789,0.00005092306,0.00003676423,0.00004812754,0.00004835103,0.00003699594],"domain_scores_gemma":[0.9992672,0.0001955078,0.000255453,0.00002774509,0.0001537285,0.0001004089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001019711,0.00005259487,0.988906,0.00003990902,0.0001752191,0.0001460945,0.0001468821,0.0002533072,0.001188568,0.00006029704,0.0002647063,0.007746633],"study_design_scores_gemma":[0.00004445172,0.0002660186,0.9953102,0.00002494379,0.00025075,0.0007757062,0.0002813122,0.001256783,0.0009166345,0.0002443963,0.0006153186,0.00001340702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971005,0.00146914,0.000226055,0.0001186477,0.00001275867,0.000007809804,0.0002286311,0.000007171273,0.0008293589],"genre_scores_gemma":[0.9989818,0.0003052872,0.0001315166,0.00002849259,0.00001933811,0.000007770092,0.0002161491,0.000001232157,0.0003085596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004192874,"threshold_uncertainty_score":0.008336961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09909457366562481,"score_gpt":0.4312057530628197,"score_spread":0.3321111793971949,"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."}}