Ice Thickness and Roughness Analysis on the Peace River
Bibliographic record
Abstract
The objective of the analysis was to indirectly infer ice thickness and strength information from RADARSAT-1 images with the hope of obtaining useful results to help manage freeze-up downstream of a hydroelectric facility. In the 2002 winter, three Fine Beam images were acquired on the Peace River, Alberta to measure temporal ice changes due to thermal ice growth over a five-week period. Ice thickness data were collected at two study sites concurrently with image acquisitions. The locations were selected to cover areas over and adjacent to gravel bars. To investigate whether freezing to the ground would affect the signal response; the backscatter values from the RADARSAT images were correlated to ice thickness data. In 2003 two Fine Beam images were acquired that were concurrent with ice cross-sectional surveys at eight locations. The objective was to measure spatial differences in the ice cover. Comparison between RADARSAT images and field data was made for ice between the shear lines at mid-channel. Backscatter values were compared with total ice thickness (i.e. solid ice and slush) and with sail heights. 1.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".