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
High-throughput analyses of mammalian transcriptomes have revealed that more than half of the transcripts produced by RNA polymerase II are non-protein-coding. One class of these non-coding transcripts is the long non-coding RNAs (lncRNAs), which are more than 200 nucleotides in length and are molecularly indistinguishable from other protein-coding mRNAs. Although the molecular functions of these lncRNAs have long remained unknown, emerging evidence implicates the functional involvement of lncRNAs in the regulation of gene expression through the modification of chromatin, maintenance of subnuclear structures, transport of specific mRNAs, and control of pre-mRNA splicing. Here, we discuss the functions of a distinct group of vertebrate-specific lncRNAs, NEAT1/MENε/β/VINC, MALAT1/NEAT2, and Gomafu/RNCR2/MIAT, which accumulate abundantly within the nucleus as RNA components of specific nuclear bodies.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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 it