Bibliographic record
Abstract
认知功能的评价正越来越多地受到人们的关注。医生需要对阿尔茨海默病（AD）痴呆,帕金森病（PD）,脑血管病,非特异性脑炎(如边缘脑炎)，特异性感染性脑炎、脑病(如单纯疱疹性脑炎、梅毒性脑病、脑肿瘤)等进行专业的认知功能评价；患者也因为担心罹患痴呆而主动要求进行认知功能的评价以确定自己是正常老化还是轻度认知功能障碍(MCI)［1］。疾病的治疗更需要客观的认知功能评价来确认疗效，而可用的神经心理评价却非常有限。一线的社区医生、基层医生和记忆诊所需要一个简单的认知功能筛查量表，以鉴别老化、良性遗忘以及AD或其他痴呆前驱期的认知功能异常，并且认识不同疾病对认知功能的影响。蒙特利尔认知评估量表（MoCA）于1996年（版权属于Ziad S. Nasreddine医生）诞生，于2005年确立了英文版和法文版［2］。MoCA设计理念是对脑进行一个简要的神经心理扫描（图1），以帮助医生定位和诊断认知损害。MoCA的每一项测试分别评估特定的认知领域，它们分别对应1个或多个神经解剖区域,其最重要的目的是敏感地筛查MCI。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".