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
Dr. Sarukawa and his colleagues are to be congratulated for bringing objectivity to our subjective clinical impressions in the area of skull-base surgery. They also articulate what many of us have been thinking, that our reconstructions are often not very good. The authors give us documented justification, for a change, in the way we approach complex craniofacial defects. Microvascular surgery has, to a large extent, been responsible for the advances that have taken place in skull-base surgery, allowing more extensive resections in the knowledge that the defect can be safely covered.[1] However, we have tended to concentrate on wound closure without paying much attention to facial aesthetics in these complex cases. The rectus abdominis myocutaneous flap has been the workhorse for these reconstructions, and we are all aware of the variable atrophy that occurs with this and other muscle flaps. We have all had patients who looked great after the initial surgery, only to witness the subsequent loss of bulk with consequent deterioration in aesthetics associated with flap atrophy.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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