Test Site Selection During the USCGC Healy Ice Trials
Bibliographic record
Abstract
The new USCGC Healy underwent icebreaking performance trials during April-May 2000 in Davis Strait and southern Baffin Bay. The testing requirements placed heavy emphasis on icebreaking performance in level first-year ice, although testing in pressure ridges and multiyear ice was also required. A crucial aspect of the testing program was to rapidly locate suitable testing sites. A combination of systems for receiving and processing satellite imagery helped to satisfy this requirement. The Healy was equipped with a TeraScan system, capable of directly downlinking and processing visible, infrared, and passive microwave imagery from overflying National Oceanic and Atmospheric Administration (NOAA) and Defense Meteorological Satellite Program (DMSP) satellites. In addition, the Canadian Ice Service provided an Ice-Vu system, an ice analysis and navigation system, with which we obtained RADARSAT images, ice analysis charts, and weather forecasts. Using these two systems, promising ice floes were selected, and helicopter reconnaissance flights verified the location, thickness, and suitability of the floes for testing. The ship was routed to the selected sites using the satellite imagery and helicopter reconnaissance information.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".