Referee report. For: Analysis of the Arabidopsis organellar rhomboid At1g74140 transcript population uncovered splicing patterns different from its close relative At1g74130 [version 1; peer review: 2 not approved]
Bibliographic record
Abstract
Background: Four distinct rhomboid genes appear to function in Arabidopsis plastids, two “active” types from the secretases and presenilin-like associated rhomboid-like (PARL) categories (At1g25290 and At5g25752) and two “inactive” rhomboid forms (At1g74130 and At1g74140). The number of working rhomboids is further increased by alternative splicing, two reported for At1g25290 and three for At1g74130. Since At1g25290 and At1g74130 exist as alternative splice variants, it would be necessary to assess the splicing patterns of the other two plastid rhomboid genes, At5g25752 and At1g74140, before studying the Arabidopsis plastid rhomboid system as a whole. Methods: This study thus specifically focused on an analysis of the At1g74140 transcript population using various RT-PCR strategies. Results: The exon mapping results indicate splicing patterns different from the close relative At1g74130, despite similarity between the exonic sequences. The splicing patterns indicate a high level of sequence “discontinuity” in the At1g74140 transcript population with a significant portion of the discontinuity being generated by two regions of the gene. Conclusion: The overall discontinuous splicing pattern of At1g74140 may be reflective of its mode of involvement in activities like controlling gene expression.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.571 | 0.282 |
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".