Relationship between foreign TBT and Recall of China's consumer products
Why this work is in the frame
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Bibliographic record
Abstract
In this paper,a model called Weight Regression and Forecasting among Econometrics was applied to evaluate the relationship between the number of recalled China's consumer products exported to EU,USA and Canada during 2005.1 ~ 2012.7 and the number of global TBT announced.Results show that non-linear quantity mechanism between TBT and number of recalls exists,and R-squared is 0.9825.In this model,the amount of monthly global consumer products recall showed positive correlation with an increase of 26.8%.Also,the amount of monthly global consumer products recall showed positive correlation with the amount of global announced TBT in the same and the next month,with an increase of about 79.6%.Our research indicates an anticipation of consumer products recall that will continue to increase,with inertia effect.Although,the TBT has kind of lagged effect on recall amounts,the anticipation of China's consumer products recall will not be reduced to a certain extent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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