Unscrambling genetic information at the RNA level
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Genomics aims at unraveling the blueprint of life; however, DNA sequence alone does not always reveal the proteins and structural RNAs encoded by the genome. The reason is that genetic information is often encrypted. Recognizing the logic of encryption, and understanding how living cells decode hidden information--at the level of DNA, RNA or protein--is challenging. RNA-level decryption includes topical RNA editing and more 'macroscopic' transcript rearrangements. The latter events involve the four types of introns recognized to date, notably spliceosomal, group I, group II, and archaeal/tRNA splicing. Intricate variants, such as alternative splicing and trans-splicing, have been reported for each intron type, but the biological significance has not always been confirmed. Novel RNA-level unscrambling processes were recently discovered in mitochondria of dinoflagellates and diplonemids, and potentially euglenids. These processes seem not to rely on known introns, and the corresponding molecular mechanisms remain to be elucidated.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it