MétaCan
Menu
Back to cohort
Record W1482457316

A DEMANDA DE CELULOSE NO MERCADO INTERNACIONAL

2003· article· es· W1482457316 on OpenAlexaboutno aff
Edmilson Cruz Santos, Antonio Oliveira Donizette de, José Roberto Soares Scolforo, José Luis Rezende Pereira de

Bibliographic record

VenueCERNE · 2003
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsPrice elasticity of demandEconomicsElasticity (physics)Pulp (tooth)Agricultural economicsInternational marketCommerceMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.018
GPT teacher head0.226
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueCERNESame topicAgricultural and Food SciencesFrench-language works237,207