Sea ice properties on the USCGC Healy ice trials
Bibliographic record
Abstract
During the USCGC Healy ice trials in Baffin Bay in April/May 2000, the sea ice thickness and strength, as well as the snow thickness, were measured. The thickness of the ice was measured. The thickness of the ice was measured by augering, by an electromagnetic (EM) method, from cores, and with an Over-the-Side Video (OTSV). Good agreement was found from these methods in the first year ice, but less good for the two cores of multi-year ice. The snow thickness was measured by point survey measurements and from the OTSV. The OTSV method gave snow thicknesses consistently greater than the point measurement. These different methods are described and the results obtained are discussed. Sea ice strength was determined by drilling cores either by hand or with the RapidCore equipment, measuring temperature, salinity and density, and then calculating flexural strength. The mean strength of the first year ice was 315 kPa (46 psi) and the mean strength of two multi-year cores was 714 kPa (104 psi).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".