Seasonality and Forecasting in the Romanian Trade with Live Animals
Why this work is in the frame
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Bibliographic record
Abstract
Any country that is always looking to grow the country's economy should be based on the international trade sector. The present study examines the dynamics and the seasonality in Romania's international exchanges in live animals and animal products. Try to modelling aspects of the seasonality in a time series, can be an issue of that decision makers take into account in assessing the performance of the sector. The analyzed period for this paper is 2004-2013. Live animals trade in Romania is one of the three sectors with positive balance of trade and the rhythm of growth for the exports increased faster than for the imports. The analyze of the seasonality, made by two methods, suggested that the trade in live animals has had negative adjustments due to seasonal factors, at least on the first quarter and the trade with agro food products has had negative adjustments on the first and second quarter. Regarding the forecasting 2014 and 2015, quarterly time periods, the linear method was the one which has had the best adjustment.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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