Simulation and Evaluation of International Border Crossing Clearance Systems
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
This paper presents the development of a framework for the evaluation of commercial vehicle border preinspection systems. The evaluation framework consists of accounts that are described by several measures of effectiveness (MOEs). A discrete-event simulation model was developed to provide the main source of input for the calculation of the MOEs. In a case study of a hypothetical preinspection system for commercial vehicles entering Canada from the United States, 10 scenarios of varying degrees of preinspection system implementations were tested with the simulation model. The scenarios consisted of varying degrees of industry and agency participation rates and comprised the application of rules and corresponding parameter settings of the hypothetical implementations of the border preinspection system. The case study evaluation resulted in increases in the efficiencies of border operations and increases in industry and agency participation.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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