Tides and sea‐level variability in the south‐west Pacific from TOPEX/Poseidon
Bibliographic record
Abstract
Abstract A harmonic‐analysis technique is used to compute tidal amplitudes and phases over the south‐west Pacific Ocean from the first 300 cycles (up to November 2000) of TOPEX/Poseidon satellite altimetry. The analysis is performed along groundtracks and at track crossover locations and the resultant harmonics are shown to compare favourably with those from open‐coast sea‐level gauges and from regional and global tidal models. Small‐scale oscillations (<400 km) in along‐track amplitudes and phases are used to identify likely regions of M 2 internal tide generation, or aliasing between K 1 and semi‐annual signals. Tidal harmonics derived from satellite altimetry were used to improve the open‐sea boundary forcing for a limited‐area tidal model and produce a better validation with coastal sea‐level gauges.
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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 | 0.000 |
| 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) | 0.001 | 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".