Bibliographic record
Abstract
Sediment processes on the Fraser Delta, British Columbia, are being observed using a real time scientific ocean network maintained and operated by Ocean Networks Canada and the Geological Survey of Canada. The instruments have detected many features of sediment transport including plume settling characteristics, deposition rates, conditions for tidal resuspension and transport. This information would be useful for the understanding of remobilization and transport of contaminants from the Fraser River. Among the key findings, settling rates might be faster than stokes settling alone would account for, and annual bed-building deposition is interrupted by massive erosion events at certain tides. In addition to the transport modes above, the instruments have registered several turbidity current events, and in at least two cases these were strong enough to lift the 1-tonne platform off the seabed and send it tumbling, all the time measuring rarely measured properties of the turbidity currents. These turbidity currents would remove sediment and presumably contaminants to deep water in the Salish Sea (though we are not measuring contaminants directly). In this presentation, we show highlights of our measurements on the modes of sediment transport on the Fraser Delta.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".