Analysis of the performance of Khartoum Customs Department during the period 2019-2021
Bibliographic record
Abstract
The aim of this study was to investigate the performance of the Khartoum Customs Department. The problem of the study was to determine the contribution of the customs stations that make up the Khartoum Customs Department. The study claimed that the dry port of Soba had the greatest impact on the performance of the Khartoum Customs Department. To achieve the objective of the study, monthly data for the Khartoum Customs Department was collected from 2019 to 2021. The study concluded that the largest customs revenues achieved in the Khartoum Customs Department were from the Soba dry port (971.9206), while the lowest revenues were from the warehouses management (150.8236). Additionally, all customs stations in the Khartoum Customs Department showed an increase in performance in 2019, and all customs stations in the Khartoum Customs Department saw an increase in performance in the fourth quarter of each year during the study period.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".