A movement options analysis simulation tool for the Canadian Operational Support Command
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Bibliographic record
Abstract
This paper provides an overview of a movement options analysis simulation tool that has been developed for the Canadian Forces. The aim of the Movement Estimator Tool (MET) is to enable movement staff to quickly compare movement plan options and determine the “best” plan. Given a list of items to be moved, specifications for the lift assets that could be utilized, and a possible line of communication, the MET uses simulation to estimate the time and cost of the move for multiple possible movement plans, and provides a graphical representation of the cost/time tradeoff region. Movement staff can then decide upon the best course of action, taking into account issues such as lift asset availability, and time and budgetary constraints. The MET is used to analyze a hypothetical redeployment of the Canadian Forces' Disaster Assistance Response Team from Haiti.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it