Future Heat and Electricity Generation from Bertoni Plant in Morocco
Bibliographic record
Abstract
Morocco's energy sector heavily depends on fossil fuel imports to meet a large portion of the country's primary energy demand. However, costly energy imports along with the growing national energy need, pushed Morocco to look for alternative energy resources. One of these alternatives is Stevia rebaudiana (Bertoni), a native plant in Paraguay. This plant is now an important agricultural crop for the production of a high-potency natural sweetener in Canada, the USA, Switzerland, Germany, and France. Nevertheless, it is not produced in Morocco, but research conducted on the crop yield of this agricultural plant shows its great potential for cultivation in Morocco. The dry leaf yield of Bertoni depends on its variety and cultivated region. Stevia has great potential to be a commercial crop for biological sweeteners and energy production. Therefore, in the present paper, the potential of heat and electric energy generated by Bertoni's dry leaf in various regions of Morocco with different weather conditions are studied. The results show that Bertoni's dry leaves are good biomass resources for energy generation in the Moroccan regions of Berkane, Larache, Marrakech, Rabat, and Sefrou.
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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 | 0.000 |
| 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) | 0.002 | 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 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".