Targeted RNA sequencing: A routine ancillary technique in the diagnosis of bone and soft tissue neoplasms
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 past decade has witnessed remarkable progress in delineating the molecular pathogenesis of many mesenchymal neoplasms. This, in large part, is attributable to the application of next-generation sequencing. As these techniques decrease in cost, and increasingly support the use of routine clinical specimens-such as formalin-fixed paraffin-embedded tissue and cytology samples-they are beginning to be routinely implemented in diagnostic pathology laboratories. The breadth of testing possible by next-generation sequencing makes this a useful adjunct for pathologists, particularly with the emergence of targeted therapies. The intent of this article is to share our experience, over 2 years, as an early adopter of targeted RNA sequencing as an ancillary diagnostic technique for fusion gene detection in bone and soft tissue neoplasms.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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