Aptitud papelera de pulpas al sulfato de 3 especies de eucaliptos peruanos.
Bibliographic record
Abstract
The species in this study, El Eucaliptus Globulus Labilly Eucalyptus grandis and camaldulensis eucalyptus trees were chosen for this purpose considering: its greatest abundance in relation to other species of Eucalyptus and existing hardwoods in the country, its rapid growth and higher volumetric efficiency per hectare. All species of Eucalyptus tested come from the area of Cuzco, which in the opinion of the Forest offer the best climatic conditions for the growth of these species. Pinus radiata splinters were sent from Canada in sealed bags. To obtain pulps are sulphate process use, also called kraft and bleached cellulosic pulps were then through a scheme or sequence CEDA. (Chlorination, Extraction, Dioxidacion). For technical and subsequent comparison of these Eucaliptus, evaluating the main parameters of digestion such as remained constant:% sulfidity, Alkali active, cooking temperatures and liquor ratio, wood, only time Cook was varied at high temperatures ( T. Cook) to obtain the same degree of delignification. Also during bleaching the same conditions for all samples they were maintained. During the pulping or refining it was subjected to pasta, refining different times in order to observe that time obtained the best paper characteristics of pasta and somehow evaluate energy consumption originating were used. Cellulosic pulps bleached and unbleached were tested in terms of whiteness, opacity and physical mechanical resistance. They were also determined yields, number of rejections and No. Kappa celluloses. The results obtained indicate that all species of Eucalyptus Peruvians are suitable in varying degrees for the production of cellulose pulp for paper.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".