A DEMANDA DE CELULOSE NO MERCADO INTERNACIONAL
Bibliographic record
Abstract
This study aimed at analyzing the international pulp market, taking into account the main exporting countries and importing regions, with the objective of estimating, for each market, the own-price and cross-price elasticity in relation to the demand of the pulp, differentiated for country of origin. The model considers that imports are differentiated by origin; therefore they are not perfect substitutes. The demand from Europe, North America and the Rest of the World for the pulp from the United States,Canada, Sweden, Finland, Portugal and Brazil was inelastic. The Asian demand for this some pulp was elastic. Europe and the Rest of the World showed negative cross-price elasticity, i. e., and the imported pulp from other countries are complementary products. North America and Asia showed positive crow-price elasticity, i. e., they consider the pulp produced in other countries as substitute products. The net effect of the variation on the price of pulp in a country h, over the amount of pulp that goes to the region i depends on the matching of values related to the elasticity of substitution and the price elasticity of the total demand.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".