Bibliographic record
Abstract
Four years of surface currents from a two-element array of high frequency (HF) radars are used to study variability of the regional estuarine circulation over central Juan de Fuca Strait. Surface currents in the long term mean are directed in a seaward outflow to the continental shelf. This outflow is subject to substantial variability on time scales ranging from tidal to interannual, and includes a pronounced seasonal cycle. The integrated along-strait surface-layer transport is used characterize the strength of the sub-tidal circulation. Variability of the transport includes marked reversals of the estuarine outflow that occur primarily during winter and are related to downwelling winds over the outer coast with a time lag of 3 to 4 days. Notably, the surface-layer transport is subject to a seasonal modulation with an approximately three-fold increase in the outflow from winter to summer. Over a wide range of frequencies, the transport is coherent with cross-strait sea-level differences derived from tide gauge data. At the lowest resolved frequencies, including the annual cycle, the surface-layer transport is in approximate geostrophic balance with cross-strait sea-level differences. On interannual time scales, the integrated surface-layer transport during summer appears to respond to variations in the net fresh water runoff due to the spring freshet of the Fraser River, although the record length is too short to draw firm conclusions regarding this dependence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".