Temperature variability in the nearshore benthic boundary layer of Lake Opeongo is due to wind-driven upwelling events
Bibliographic record
Abstract
A major source of temperature variation in nearshore and benthic regions of stratified lakes is due to wind-driven tilting of the thermocline. The maximum displacement of the thermocline depends upon the wind forcing, stratification, and basin morphometry; combined these three-dimensional physical parameters give the dimensionless lake number (L N ). We find that the deflection of the thermocline across the length of the basin (Δh*) is correlated to the temporally averaged L N as Δh*/2h 1 = 0.37L N –1 , where h 1 is the depth of the thermocline. We report field observations from Lake Opeongo (Ontario, Canada) showing that during large vertical movements of the thermocline, there are unstable temperature gradients in the benthic layer, as measured by the occurrence of temperature inversions on our thermistor strings. High-frequency waves interacting with the benthic boundary are most likely causing the temperature inversions. Measurements at two shallow slopes of S = 1% and 4%, show that inversions only occur when L N < 5, whereas for S = 8%, the inversions occur only when L N < 2.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".