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
As the bonded warehouse is the public logistics infrastructure that a number of exporters and importers use, the service level offered by the bonded warehouse becomes the important scale of evaluating the national logistics competitiveness. Accordingly, this study examined how the bonded warehouse is being operated in the major developed countries such as America, Canada, and Japan, in order to reinforce competitive edge of our country's bonded warehouse. As a result of research, the advanced countries can be known to focus on the security of bonded goods management capability of bonded warehouse proprietor, the security of internal control procedure of bonded warehouse, the reinforcement of requirements for the facilities of bonded warehouse, the emphasis on traffic of the bonded goods, and the quantificationㆍmeasurement in requirements for patent in operating the bonded warehouse. Accordingly, given introducing merits of operating the bonded warehouses in the advanced countries to the reality of our country, even our country's bonded warehouse is expected to be likely to realize the safe management of bonded goods, the swift handling of the bonded goods, and the transparent performance of patent work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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