Pack Ice Thickness and Concentration Measurements from the Area Around the Confederation Bridge (Canada) Using Helicopter-Borne Sensors
Bibliographic record
Abstract
A joint project between Department Fisheries and Oceans (DFO) and National Research Council (NRC) is studying the effect of the Confederation Bridge on the ice regime (DFO) and the ice forces on the Bridge (NRC). As part of the project, helicopter-borne sensors were used during the winters of 1999 and 2000 to monitor the mobile pack ice properties near the Bridge connecting Prince Edward Island (PEI) to Canada’s mainland. Complementary ice drift and ice draft data were collected using moorings near the Bridge (Belliveau et al., 2001). Helicopter-borne sensors collected ice thickness and surface roughness profiles from both sides of the bridge to document the variations in pack ice properties caused by the bridge as the ice moves back-and-forth due to tidal currents and wind forcing. A second helicopter system collected video images to document the changes in ice concentration and floe size estimates. After discussing the observations collected by helicopter sensors, the data is compared to ice draft data collected by an upward looking sonar moored besides the Bridge.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".