Bibliographic record
Abstract
In human and rat, tissue-specific proteolytic processing of identical proglucagon precursors yield tissue-specific proglucagon-derived peptides. In contrast, in many non-mammalian vertebrates alternative mRNA splicing yields different proglucagon precursors in different tissues. Thus alternative mRNA splicing, in part, limits the choices of proglucagon-derived peptides that can be produced by proteolytic processing. Stomach proglucagon mRNAs from the rainbow trout and Xenopus laevis were found not to encode the proglucagon-derived peptide glucagon-like peptide 2 (GLP-2). To determine if the absence of GLP-2 was a general feature of stomach proglucagons we isolated and characterized proglucagon cDNAs from the stomach and the pancreas of the dog, a mammal that expresses the proglucagon gene in the stomach. A major proglucagon transcript of about 1100 bases and a minor transcript of about 800 bases were identified in both stomach and pancreas. The coding sequences of both the stomach and pancreatic proglucagon transcripts were identical. Therefore, tissue-specific proteolytic processing, and not alternative mRNA splicing, must regulate the production of tissue-specific proglucagon-derived peptides from the stomach of the dog.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".