Simpler noninstrumented batch and semicontinuous cultures provide mammalian cell kinetic data comparable to continuous and perfusion cultures
Bibliographic record
Abstract
Perfusion culture optimization in multiple noninstrumented small-scale flasks allows reduced expense and time associated with process development. These cultures normally use a different process mode because at small scales it is not practical to retain the cells for medium perfusion. In this work, the kinetics of growth, nutrient consumption, metabolite, and product formation were compared in spinner cultures operated in batch, semicontinuous, chemostat, and perfusion modes. Fed-batch was also included to provide an added comparison. Using logistic fitting for more reliable specific rate estimates in transient conditions, the growth phase of batch cultures predicted similar kinetics to fed-batch and continuous processes. For daily medium exchange rates up to 50%, the semicontinuous mode also predicted the perfusion process kinetics. Differences between the chemostat and semicontinuous culture results were only observed at higher exchange rates with the greatest daily culture perturbation. Overall, the batch or semicontinuous cultures were shown to readily provide results similar to the far more complex to operate chemostat or perfusion cultures.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".