Berth Expansion at Manzanillo International Terminal, Colon, Panama
Bibliographic record
Abstract
Located on the Atlantic coast, near the Northern entrance of the Panama Canal, Manzanillo International Terminal (MIT) is one of the largest transshipment terminal in the world and has a total of 7 berths with a combined total length of over 2,000-meter. The addition of a new berth along with other improvements in this facility is expected to boost the container handling capacity of the terminal from 2.4 million twenty-foot equivalent units (TEU) per annum to 4.0 million TEU. This expansion fulfills an important and strategic need of the terminal in meeting the expected demand in container and roll-on-roll-off (RORO) cargo. The final footprint of the expansion comprised of a 400-meter long berth, 6 mooring and breasting dolphins, 60-meter extension of an existing marginal wharf structure, a 600-square meter RORO platform, and improvements to an existing 300-meter wharf. This paper describes the background, planning, design, and construction challenges encountered in implementing this expansion program with emphasis on how the new expansion relates to the existing terminal operation as well as the planned ultimate configuration of the terminal.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".