An Iceberg Drift Prediction Study Offshore Newfoundland
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Iceberg drift forecast is a challenging process. Large uncertainties in iceberg geometry and in the driving forces – current, wind and waves – make accurate forecasts difficult. The two forecast schemes, the ancillary current and the inertial current estimation-forecast scheme are presented. In both schemes, the moving horizon estimator is used, to estimate the needed parameters. Furthermore, a switching scheme is proposed, which switches between the two iceberg drift forecast schemes. A criterion is introduced that identifies when to switch between both schemes. The switching scheme is implemented and tested on an iceberg drift trajectory, measured during a research expedition offshore Newfoundland conducted by ArcticNet and Statoil. It is shown, that the use of two forecast schemes and a timely decision which scheme to use, improves the iceberg drift forecast compared to using only one scheme.
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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) | 0.002 | 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 it