Development of autonomous microrobotics in endoscopy
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
With experience and training the colonoscope can be a very effective tool in the screening and diagnosis of colorectal cancer. However, the colonoscope most commonly used today has changed very little in the last three decades. It is not without its problems, including a risk of perforation and significant patient discomfort, especially associated with loop formation. Furthermore, loop formation may prevent a complete colonoscopy from being performed in certain patients. In order to avoid looping formation of the colonoscopy and develop a better colonoscope it is necessary to understand the generic principle that results in the looping phenomenon. Loop formation is caused by three factors including the natural characteristic of the colon, the flexible nature of the insertion tube and the impact of frictional force on deformation of intestinal walls and mesenteries. We scientifically analyse loop formation by Kirchhoff's slender rod model, and present a review of the state-of-the-art of technologies that are being promoted as a way to address the problems of the colonoscope.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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