ORIGINAL ARTICLE Fed-batch production of M
Bibliographic record
Abstract
bt rat, 7 g tid Marchessault et al. 1990). Most bioreactor scale produc-tion of MCL-PHAs have used structurally related MCL this cultivation technique is not used commercially. In order to be of commercial interest, this novel approach to Jiang et al. AMB Express 2013, 3:50 http://www.amb-express.com/content/3/1/50growth rate and the β-oxidation inhibitor concentration in1Chemical Engineering, Queen's University, Kingston, ON K7L 3N6, Canada Full list of author information is available at the end of the articlecarbon substrates, such as octane (Hazenberg and Witholt 1997), nonanoic acid (Sun et al. 2007), and oleic acid (Lee et al. 2000). Although Liu et al. (2011) and Chung et al. (2011) effectively showed MCL homopolymer production MCL-PHA production must be shown to be applicable to fed-batch culture. The objective of this study was to develop a metho-dology for controlling the monomeric composition of MCL-PHA in efficient fed-batch fermentations. Specific-ally, the production of PHN copolymers with different HN content was investigated by controlling the specific * Correspondence:
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.008 |
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".