Bibliographic record
Abstract
目的： 探讨CD4^＋CD25^＋Treg细胞在乙型肝炎病毒（hepatitis B virus, HBV）携带者及相关感染状态中分布特征, 以期揭示其与HBV携带者的相关性, 为临床干预提供依据. 方法： 计算机检索Pubmed、SCI、Embase、CNKI、万方及维普等数据库, 依据Newcastle-Ottawa Scale（NOS）标准评价文献质量, 按照PICOS原则提取资料, 采用RevMan5.1软件进行Meta分析. 结果： 纳入文献24篇. HBV携带者外周血Treg细胞含量较健康对照高（P = 0.01）; 与HBV携带者比较, 慢性乙型肝炎Treg细胞含量较高（P = 0.12）, 急性乙型肝炎较低（P = 0.15）; 慢性HBV携带者Treg细胞高于非活动性HBsAg携带者（P = 0.01）. Treg细胞含量与HBV DNA、丙氨酸转氨酶是否存在相关性, 因研究一致性差, 结论尚不能确定. 结论： CD4^＋CD25^＋Treg细胞可能成为影响HBV携带者预后及转归的重要因素.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".