Additional file 4 of Microfluidic chip systems for characterizing glucose-responsive insulin-secreting cells equipped with FailSafe kill-switch
Bibliographic record
Abstract
Additional file 4. Supplementary Figure: A transcapillary-resembling microfluidic system development, specifications and integration with confocal microscopy. The microdevice structure mimics the capillary convection and transcapillary diffusion of bioactive molecules into a central 3D microenvironment. It consists of micropillar PDMS arrays (100 μm high, 10 μm apart) that separate two side microchannels (450 µm wide) from a central microchamber (550 µm wide) where culture medium flows through the side channels from which nutrients and GCV are transported into the 3D microenvironment in the central microchamber. The experimental setup consisting of a peristaltic pump that injects the culture medium with DAPI or FSS from the reservoir into the microfluidic device. The microfluidic device is placed in the incubation chamber (37 °C, 5% CO2). The time-lapse fluorescent imaging is performed using a two-photon confocal microscope (LSM750, Zeiss, Germany).
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.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.829 | 0.228 |
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".