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
The cell-free translation of genome RNA from Rous sarcoma virus was examined following hybridization to selected fragments of viral DNA. Single-stranded fragments, generated by t-RNATrp primed transcription of 70 S RNA from the Schmidt-Ruppin D strain, were isolated and purified by electrophoresis. These included DNA complementary to the 5'-terminal 101 nucleotides (DNA100) of virion 38 S RNA and a collection of prematurely terminated transcripts which lack the complement to the extreme 5'-terminal 7-20 nucleotides (DNA less than 100). In addition, DNA encompassing the viral leader sequences was purified from a cloned copy of proviral DNA. Under hybrid-arrested translation conditions, the leader DNA as well as DNA100 inhibited translation of all protein products generated from the 70 S RNA, while hybridization to the shorter transcripts (DNA less than 100) did not affect in vitro protein synthesis. All single-stranded DNAs were shown to hybridize with equal efficiency to viral RNA under hybrid-arrested translation conditions and inhibition of protein synthesis by DNA100 was concentration-dependent. These results document the participation of noncoding leader RNA in Rous sarcoma virus protein synthesis and demonstrate that a free, single-stranded 5' terminus is necessary for cell free translation of 70 S RNA.
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) | 0.000 | 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 it