Magnetic Capsule for Stable Collection of Large GI Tract Microbiome Samples
Bibliographic record
Abstract
The gut microbiome is an important indicator and determinant of human health, but current methods to sample intestinal contents are insufficient. Robotic sampling capsules hold the unique potential to sample contents in a non-invasive manner for safe study and diagnosis, but suffer from low sampling volume and poor sealing robustness. We introduce a new tetherless magnetically actuated capsule designed for noninvasive sampling of GI liquid digesta for study. The design uniquely maximizes sampling volume efficiency, utilizing 52 % of its space (290 mg) for the sample, compared to roughly 10 % in previous magnetic hinge designs. Controlled by low strength magnetic fields, the capsule operates without onboard control circuits, enabling sampling anywhere along the GI tract. Strong magnetic sealing forces (2.8 N) prevent leakage or contamination of the sample. The capsule's compact size (8 mm diameter, 11 mm length) is similar to existing FDA approved GI capsules, allowing safe transit through the body. It features a wide opening angle of 144 degrees, and stays closed for low fields to avoid accidental opening (the hinge snaps open to 83 % of its maximum opening angle within an increment of just 2 mT of the last closed point). The capsule's robust design withstands GI pressures (roughly 10 kPa).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".