APPLICATION OF SIMMOD-BASED SIMULATION: CONSULTANTS/AIRPORT OPERATORS' PERSPECTIVE. MONTREAL DORVAL (YUL) CASE STUDY
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 presentation offers a review of SIMMOD studies for Montreal Dorval Airport, discussing the simulation input needs and output results. Since 1997, all simulation studies at Montreal Dorval Airport have been conducted using LeTech's version of the SIMMOD model. The presentation also offers a brief review of capacity definitions for practical and theoretical capacity. Also presented are data for Montreal Dorval Airport on aircraft classification, runway occupancy times, landing and takeoff roll distances, aircraft speed, unloading and boarding times, push back and power up times, reaction delays to air traffic control actions, and deicing times.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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