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 purpose of this study was to determine whether surgical residents could significantly improve their performance on a specific surgical procedure after a brief practice session with feedback. Attending plastic surgeons, using valid and reliable checklists and global rating scales, objectively assessed 37 junior surgical residents while performing two-flap Z-plasties on pig thighs (one before and one after a one-on-one, 5-minute practice session with feedback). The total cost per resident was $1.00 (Canadian currency). After the practice session, total checklist scores improved from 7.3 (range, 1 to 9) to 7.9 (range, 5 to 9), and the total global rating scores improved from 29.1 (range, 13 to 41) to 31.9 (range, 19 to 43). Paired Student's t tests revealed significant improvement in both the mean total checklist scores (p < 0.05) and mean total global rating scores (p < 0.01). Also, the global rating score for appearance and quality of the final surgical product significantly improved from 2.7 to 3.3 after the practice session (p < 0.01). There were no significant differences in performance scores between men and women, between first-year and second-year residents, with residents' previous experience with the Z-plasty procedure, or with resident's base surgical specialties. The results of this prospective study indicate that training on a simple and portable model with very brief individualized practice and feedback is an effective and inexpensive way of improving resident performance. A 5-minute practice session with a surgical trainee before performing a procedure on a living patient may significantly improve the patient's surgical performance and produce a superior result.
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 | 0.003 |
| 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) | 0.004 | 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