Some fundamental statistics associated with ocean surface current measurement using a dual station, long-range, high-frequency ground wave radar system
Bibliographic record
Abstract
Raytheon Systems Canada Limited, in association with Northern Radar Inc (NRI), have designed and built two long-range High Frequency Ground Wave Radar (HFGWR) facilities at Cape Race and Cape Bonavista, NF, Canada. Even though these systems can routinely monitor offshore target activity, the data stream for target detection can also be used to generate surface currents. Since each station is capable of providing estimates of the radial components of the surface current field, the vector current field can be reconstructed from the radial data via geometric considerations. To explore this possibility, sample datasets from both stations were collected in June of 2000 and subjected to a dual station analysis scheme. The treatment presented here will discuss some of the statistics associated with the radial current data as well as the dual station technique used to generate the surface current field. Finally, the radar current estimates will be compared with current meter data collected near the Hibernia platform.
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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 | 0.003 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".