Limitations of nonlinear chaotic dynamics in predicting sea clutter returns
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
The ability to describe sea clutter returns via nonlinear, and more specifically chaotic, dynamics is examined. It is shown that the commonly used chaotic invariant measures of correlation dimension and Lyapunov exponent are incapable of uniquely identifying chaotic processes, and produce similar results for measured sea clutter returns and simulated stochastic processes. The potential existence of an underlying chaotic texture masked by stochastic overlying speckle is examined but found to be inconsistent with the measured properties of the sea clutter data. Finally, the performance of three linear and nonlinear predictors is tested against high-resolution measured sea clutter data but no improvement is found to exist for the nonlinear predictor tested with respect to linear prediction performance.
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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 | 0.000 | 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