High frequency acoustic observations of episodic mixing events in Lunenburg Bay
Bibliographic record
Abstract
High frequency (0.6-5 MHz) acoustic backscatter data has been collected during the past four years (2002-2006) at Dalhousie's coastal ocean observing system at Lunenburg Bay (www.cmep.ca). Severe storm events, including hurricanes, produce high wave (Hs 2m) and wind (U10 10 m/s) conditions in the area for sustained periods (T 1 day) during late summer and autumn. Coincident with periods of high waves or high winds or both, enhanced acoustic backscatter is observed to occur throughout the water column. The acoustical backscatter observations recorded via acoustic current profilers and velocimeters at three locations within the bay are shown. The subplots labeled BN1-3 correspond to locations around the bay (buoy node 1 is at the head of the bay while BN2 and 3 are at the south and north shores of the mouth of the bay). Six periods of enhanced surface-intensified backscatter (at days 267, 272, 277, 280, 287, 289) and 3 periods of enhanced scattering near the bottom (days 267, 272 and 289) occur between yearday 260 to 290 (September 17 to October 17). To varying degrees, local sheltering of wind and waves resulted in distinct data sets from each location for any given period of enhanced scattering
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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) | 0.000 | 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".