Observing pack ice properties with a helicopter-borne video-laser-GPS sensor
Bibliographic record
Abstract
Various processing and display techniques were developed to display pack ice properties from data collected with a helicopter-borne Video-Laser-GPS Sensor System. The Video Sensor System collects digital video images, laser and radar altimeter profiles with GPS positioning. This report describes the sensors and the analysis performed on data collected in March 1998 and 1999 with the Video System in the southern Gulf of St. Lawrence, Canada. The ice features that can be determined from the video system are ice concentration, surface ice roughness, and ridge, floe and lead size distributions. Real-time display programs now provide quick-look and geo-referenced video plots, and plots of laser ice roughness, GPS flight track positions and flying heights. Further software development is needed to make ridge, floe and lead size distributions, and ice concentration available in real-time for operational use. Further field and analysis work is required to investigate the coherence seen between surface roughness, ridge frequencies and variations in image brightness.
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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 | 0.001 | 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".