Bibliographic record
Abstract
用SPF鸡胚增殖禽流感病毒（AIV）A／Turkey／Canada／63毒株，提取病毒基因组总RNA，应用RT-PCR技术分别扩增该病毒分离株的HA和NA基因全片段，并克隆到pMD18-T载体上。测序结果表明，该毒株的HA基因全长为1745bp，含有完整的阅读框架，编码566个氨基酸；NA基因全长1467bp，编码469个氨基酸。BLAST序列比较结果显示，该毒株HA基因属于H6亚型，NA基因属于N2亚型。将获得的HA和NA基因与AIV数据库中H6和N2基因进行遗传演化分析，表明该毒株HA基因与其他H6基因核苷酸的同源性为80．5％～87．3％，氨基酸的同源性为88．0％～93．1％；NA基因与其他N2基因核苷酸的同源性为86．0％～93．5％，氨基酸的同源性为90．6％～96．3％。
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".