Viabilidad financiera de la obtención de Certificados de Emisiones Reducidas a través de proyectos de forestación en la región de Cajamarca, 2019.
Bibliographic record
Abstract
Abstract \nThis research was carried out in order to take advantage of the potential of the Cajamarca \nregion and the mountainous area in general with respect to afforestation projects; it was \ndetermined that the reduction of CO \n2 \n based on afforestation projects is directly linked to how \nmany reduced emission certifications (CER) can be obtained in a certain geographical space \nand the duration of the certification; Cajamarca and the Peruvian mountain range have the \ncapacity to generate trees whose shafts have, such as radiata pine, provides high \npercentages of carbon per se and obtain maximum growth in less time than other trees that \ngrow in large powers such as Canada for example. , making Peru the sixth country in the \nworld best seen to carry out projects based on clean development mechanisms (CDM). \n \nIn this particular study, a total of 261,000 tCO \n2 \n eq was quantified. As a result of an \nafforestation project based on radiata pine, the average price of the bond was also taken, \ntaking into account its volatility, this being 17.03 EUR / CER, however, due to the effects of \nfinancial reliability, to calculate the current valuation of the project. a price was used based \non the worst possible scenario, which is of 6.40 EUR / CER, with a benchmark interest rate \naccording to the BCRP of 2.75%, using the cross method a NPV of 1'068,994.46 dollars and \nan IRR of 11.89%. \n \nKey words: climate change, reduced emission certificates, financial viability, afforestation, \nenvioroment, carbon bones.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".