Canned Pineapple in Syrup from Thailand Export by using Panel ARDL Method
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study will shows the impact factor affecting Thailand canned pineapple in syrup export by using model from the assumption of import demand side following Smith (2004). The data from various source i.e. International Financial Statistic by IMF, World Bank database, Bank of Thailand and Office of the Permanent Secretary Ministry of Commerce of Thailand. The research question intended to examine how the relationship between export of pineapple in syrup, and Gross Domestic Product of Importer countries (GDP), Exchange Rate between baht per currency of importer countries and Number of population of importer countries (POP) could be found. From 4 countries such as United State, Japan, Germany, and Canada as well as Japan has a fastest adjusting from short-run equilibrium to long-run equilibrium by have a value closest to zero; error-correction model is -1.8280. Mostly of export canned pineapple has a negative relationship with variables GDP and population both in long-run and short-run equilibrium, means canned pineapple in syrup is possibly substitution goods for those countries,
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it