Seasonality in the Romanian International Trade of Flowers
Bibliographic record
Abstract
International trade is an area that involved many peculiarities. For certain products, seasonality issues have a particular importance on both internal and external market. In this paper it was analyzed seasonality of the Romanian international trade with flowers and also it was forecasting the time series data for the next 3 years. The data upon which the study was conducted of four categories of flowers and parts of the flowers, displayed over the period 2002-2011, quarterly data. The results we have obtained, have shown that at the total flower sector, the main seasonal adjustments of the time series was for the second quarter data in case of the imports and for the fourth quarter for exports. The slightest seasonal correction of chronological series data was for the third quarter, in the case of imports of flowers, respectively for the first quarter, in the case of exports of flowers. The study's findings were also that on throughout the entire series, there is an average seasonal deviation per the four quarters of 23.27 tonnes for total imports and 0.449 tonnes for total exports of flowers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".