Relationship between recall of world's consumer products and China's consumer products
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
In this paper,a model called Weight Regression and Forecasting among Econometrics is 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 recalled products in EU,USA and Canada. Result shows that a linear relationship between the two does exist with R-squared being 0. 9966. In this model,63% of the amount of monthly global consumer products recall is from the amount of monthly global made-in-china consumer products recall and 62. 2%,62. 4% and 63. 8% of the amount of monthly USA,EU and Canada consumer products are from made-in-china consumer products recall respectively. Our research indicates more than 60% of global consumer products recall, with inertia effect,is from China's consumer products recall,thus the safety of China's consumer products needs to improve continously.
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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 | 0.006 |
| Science and technology studies | 0.000 | 0.002 |
| 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