Carbon Immobilization by Enhanced Photosynthesis of Plants
Bibliographic record
Abstract
This chapter reviews the implementation of four major strategies to mitigate carbon emissions through forestry activities, briefly describing the concepts and activities related to deforestation, reforestation, and afforestation. The chapter then talks about genetic engineering to increase C4 plants for carbon dioxide fixation. Economic options use market forces to encourage activities reducing deforestation and/or forestry activities. The chapter explains the evolution of manipulation of ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) in plants. It discusses manipulation methods of RuBisCO in plants and explains the increase of C4 carbon fixation photosynthetic plants. The chapter also discusses future trends and possible challenges associated with the strategies. C4 photosynthesis is important for understanding the origin and function of the modern biosphere. Recent advances in genomics and new evolutionary and developmental studies prove the discovery of the key genes controlling the expression of C4 photosynthesis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".