A competitividade das exportações agrícolas brasileiras para o Canadá
Bibliographic record
Abstract
O agronegocio brasileiro e responsavel por cerca de 40% da pauta de exportacoes brasileira. Nesse contexto, o Canada e um importante mercado das exportacoes agricolas brasileiras, pois em 2006, importou US$ 168.7 milhoes em produtos agropecuarios do Brasil. O objetivo deste estudo foi selecionar produtos agropecuarios prioritarios em curto, medio e longo prazos que apresentassem maior potencialidade para o incremento das exportacoes brasileiras para o Canada. Essa pesquisa foi bibliografica utilizou fontes de dados secundarios. Os dados foram tratados com base no estudo Radar Comercial, elaborado pela Secretaria de Comercio Exterior (Secex), que cruzou e analisou diversos dados. Concluiu-se que 53 produtos agropecuarios sao prioritarios, os quais representaram US$ 6.777 bilhoes de potencial importador a ser explorado em curto, medio e longo prazos. Em curto prazo, foram selecionados 15 produtos, em medio prazos, 20 produtos e, em longo prazo, 18 produtos. Concluiu-se que 19 setores sao prioritarios e os 5 maiores setores representaram juntos 62,72% do total do potencial importador a ser explorado (PIE).
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".