Shanghai Sixth People's Hospital: Challenges in Diabetes Care Equalization
Bibliographic record
Abstract
上海市第六人民医院前院长贾伟平从医43年，一直致力于糖尿病精准诊疗、预警筛查、发病机制的研究及防治工程管理。案例按照从小到大、从局部到全局的顺序，讲述贾伟平从糖尿病的尖端科研开始，走通从个体诊治到群体防控的道路，从上海最基层的社区出发，进而覆盖上海全市，进而走向全国，领导中国基层糖尿病的防治管理工作，走通从大城市到县乡村的医防融合的同质化道路。案例着重描述了数字技术在普惠医疗实现过程中扮演的角色。 2021年11月，贾伟平当选中国工程院院士，感觉到更大的责任，她在思考如何利用好院士这个更高更广阔的舞台，将已被实践验证的模式推广到更需要的中国广大基层。
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.051 |
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".