V-22 and the Future of Carrier Onboard Delivery (COD): Improving the Way the Navy Re-Supplies Its Carriers and Maritime Forces
Bibliographic record
Abstract
The Carrier onboard delivery (COD) mission involves the use of aircraft to ferry personnel, mail, supplies, VIPs, and high-priority cargo, such as replacement parts from shore bases to aircraft carriers. Several types of aircraft, including helicopters, have been used by navies in the COD role. Helicopters in the USN fleet have also played a major role in re-supply with the Vertical Onboard Delivery, or VOD mission element. The COD/VOD combined mission has heretofore amounted to a maritime hub-and-spoke system whereby the COD aircraft deploy the major re-supply cache to a carrier (hub), followed by distribution of supplies and personnel (spoke) to other carriers and ships using helicopters in the VOD role. The Navy is currently considering options for future COD platforms as the Greyhounds approach the end of their current service life supporting the carriers. This paper discusses the potential for improvements in cost and time executing the Navy’s carrier re-supply using the V-22 Osprey in the COD and COD/VOD combined re-supply roles.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".