Prediction of apparent horizon elevation under sub- and super-refractive conditions
Why this work is in the frame
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Bibliographic record
Abstract
For automatic target detection in maritime environments using optical imaging systems, it may be critical to have a valid a priori knowledge of the elevation of the border between sea and sky backgrounds. In operational conditions, this border, called the horizon, is predicted to move up and down depending on the refractivity conditions. Predictions of horizon elevation can be made from ray-tracing using bulk estimates of refractivity profiles based on the Monin-Obhukov similarity theory. In this paper, predictions of horizon elevations obtained with IRBLEM, a DRDC Valcartier computer model, are compared with observations made in the North Sea in two different meteorological environments: in Katwijk (The Netherlands, October 1993) and Sylt (Germany, June 1992). Good agreement is shown between observations and model calculations. The expected variation of horizon elevation with changing refractivity conditions is discussed.
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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 | 0.001 |
| 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 it