Bibliographic record
Abstract
Quality control of the endoplasmic reticulum plays a critical role in protein folding, modification and modification of a secretory pathway. As endoplasmic reticulum chaperones, calreticulin and calnexin have similar substrate specificity and share several common features. Yet, surprisingly, mice bearing a disruption in the calreticulin gene die from a lesion in cardiac development and develop significant metabolic problems whereas calnexin-deficient mice are born alive with, yet not understood, neurological problems. Studies with calreticulin and calnexin gene knockout mice and calreticulin- and calnexin-deficient cell lines indicate that calnexin is unable to compensate for the loss of calreticulin and conversely, calreticulin cannot compensate for the loss of calnexin. Calreticulin or calnexin deficiency or reduction in the level of ERp57 protein (ERp57 heterozygote mice) leads to development of metabolic disorders as documented by sever changes serum lipids and carbohydrates composition in these animals. These observations indicate that calreticulin, calnexin and ERp57, in addition of being involved in maturation of glycoproteins in the endoplasmic reticulum, perform other distinct functions including affecting energy metabolism.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".