Bibliographic record
Abstract
Cassava ( Manihot esculenta Crantz), a perennial shrub but a root crop in Euphorbiaceae, produces a bulk of starch in the storage roots and serves as a staple food for millions of people in tropical and subtropical regions. Additionally, cassava starch is widely used in food processing and industrial sectors due to its unique physicochemical properties of swelling and solubility, gelatinization, retrogradation, pasting, and viscoelasticity. Up to now, the starch biosynthesis and improvement have been well reviewed by a large number of literature at different layers and aspects in other plant species/crops but the understanding is limited in cassava. Therefore, how to increase starch yield and improve starch properties has received great attention. This article briefly reviews plant starch biosynthesis, and complexity of starch biosynthesis, cases of engineering-based improvement of starch yield and properties, quantitative trait loci controlling starch yield and properties, challenges of breeding and engineering, and opportunities and future prospects in cassava.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".