Additional file 3 of Metabolic switching, growth kinetics and cell yields in the scalable manufacture of stem cell-derived insulin-producing cells
Bibliographic record
Abstract
Additional file 3. Figure S3: Impact of cell culture format (2D Vs 3D) on nutrient utilization during the differentiation toward pancreatic progenitors. (A) Stage-specific morphology of all initial cell seeding concentrations tested, scale bar= 500 µm. (B) Aggregate diameter during the respective stages. (C) Flow cytometry and (D) gene expression at S1D3. (E) Flow cytometry and (F) gene expression at S4D3. (G) Cell concentration and viability of all conditions throughout the four-stage differentiation (plot shows technical replicates with mean, line= mean). (H) Daily glucose concentration in spent media and percentage of glucose consumed. (I) Daily lactate concentration in spent media (note that the monolayer control data in panels H and I are the same from Fig S2B-C and are replotted here for reference only). (J) Glucose consumption rate, (K) lactate production rates and (L) lactate per glucose consumed throughout four-stage differentiation. For panels G-L, the x-axis labels denote the stage and day, e.g., S1D1= stage 1 day 1
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.856 | 0.218 |
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".