Bibliographic record
Abstract
咖啡酰辅酶A-O-甲基转移酶（CCoAOMT）是木质素生物合成过程中的一个关键酶类。采用RT-PCR及RACE方法从绿竹中分离了CCoAOMT家族的一个基因,命名为BoCCoAOMT1（GenBank注册号为EF028662）。BoCCoAOMT1的cDNA全长873bp,含有一个780bp的读码框,编码一个259aa的蛋白,分子量约为29kD。序列分析结果表明,BoCCoAOMT1的编码肽链含有CCoAOMT类基因所有的保守序列元件,与禾本科植物水稻的CCoAOMT类基因有着很高的一致性,达到90.0%。系统进化树分析表明,BoC-CoAOMT1与水稻的CCoAOMT亲缘关系较近。
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".