Additional file 2 of Metabolic switching, growth kinetics and cell yields in the scalable manufacture of stem cell-derived insulin-producing cells
Bibliographic record
Abstract
Additional file 2. Figure S2: Metabolites and OCR during the first four stages of differentiation. (A) Percent glucose consumed at the end of each stage (n= 7-14 biological replicates). (B) Glucose concentration and (C) lactate concentration measured in spent media sampled daily from S1D1 to S4D4 (For panels B and C, solid line= change in glucose or lactate concentration ~24 h after media change, dash line= replacement of spent media with fresh media; n= 1 biological replicate). (D) Percentage of amino acids in spent media relative to fresh media during the first four stages of differentiation (n=3 biological replicates; glutamine concentration in spent media shown as it was undetectable in fresh media). For panels A-D, spent media were sampled 24 ± 2 h from the previous media change; (E) Mito stress test OCR and (F) OCR/EACR of stages 1-4, undifferentiated H1 and MIN6 cells (n= 3-4 biological replicates; one-way ANOVA with Tukey post-test. a, b, c, d and e are significantly different from one another). FCCP=carbonyl cyanide-4-(trifluoromethoxy) phenyl hydrazone; Rot/AA= rotenone/antimycin A. S1D3 = stage 1 day 3, S2D3 = stage 2 day 3, S3D2 = stage 3 day 2, S4D3 = stage 4 day 3, S4D4 = stage 4 day 4
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 | 0.019 |
| 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.829 | 0.212 |
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".