Additional file 8 of Microfluidic chip systems for characterizing glucose-responsive insulin-secreting cells equipped with FailSafe kill-switch
Bibliographic record
Abstract
Additional file 8. Supplementary Figure: The perfusion glucose stimulated insulin secretion (GSIS) assay-on-a-chip. (a) The design and specifications of the microfluidic-based perfusion GSIS on-a-chip consisting of a 1.5 m long and 800 µm wide microchannel with switchable inlets corresponding to LG, HG and KCl+HG solutions. Using phase contrast imaging, 8 different locations of cell-seeded microchannels were imaged and analyzed in ImageJ to estimate the cell density of adhered cells (cells per unit area of microchannel) to be used for normalizing the kinetic data of insulin secretion. (b) The initial and boundary conditions of the perfusion GSIS-on-a-chip was applied for CFD modeling to predict insulin secretion distribution across the microchannels over time. The predictability of the model was assessed by evaluating the coefficient of determination between predicted values from the CFD model and measured values of insulin secretion obtained from the perfusion GSIS assay on-chip corresponding to (c) βiPLCs, (d) FSβiPLCs and (e) GCV treated FSβiPLCs.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.797 | 0.196 |
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".