Bibliographic record
Abstract
Data from two acoustic Doppler current profilers, separated by 76 m and deployed through land‐fast ice in the Canadian Arctic Archipelago in May 2002, are examined. The three velocity components were sampled intermittently at 1‐minute intervals over a 3‐week period to 19 m below the ice‐water interface. The vertical structure was resolved using empirical orthogonal functions (EOF), while the shallow water Korteweg de Vries (KdV) and deep water Benjamin‐Ono (BO) theoretical solutions were used to guide a pseudo‐wavelet analysis of the horizontal structure. Numerous instances of near‐simultaneous spikes were detected in the empirical mode 1 time series. A 3.5‐hour period on 21 May 2002 containing two disturbances was examined in detail. Wavelet scalograms suggested that there was a 20‐minute lag in the first disturbance and 16 minutes in the second. The scalogram values indicated that KdV was more consistent with the waveshapewave shapes than BO theory. The character of the two events was very different. The first had a broader spatial distribution than the second, and the measured translational speed was reasonably consistent with that of a mode 1 KdV solitary wave. The second event had a much slower propagation speed and a near surface maximum in the vertical velocity eigenvector, suggesting a mode 2 wave. It is suggested that ice keels from a nearby pressure ridge could be the source.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".