The Physical Limnology and Sedimentology of Meziadin Lake, Northern British Columbia, Canada
Bibliographic record
Abstract
Meziadin Lake (34 km2, 133 m maximum depth) is located on the east side of the Coast Mountains in northern British Columbia. Inflow from Strohn Creek is dominated by the nival flood, despite a glacier cover of 50.5 km2 in the drainage basin. The nival flood generates turbid underflows in the lake that distribute sandy mud within 2 km of the point of inflow. During our study in 1999, turbidity currents and interflows along the thermocline continued intermittently through the summer, although the inflow of water and the suspended sediment loads decreased substantially. Sediment collected in traps throughout the lake indicate mass accumulation rates in the proximal region in excess of 200 g m−2 d−1 (11 mm) averaged over 69 d of observation during summer 1999, decreasing downlake to 1 g m−2 d−1 (0.06 mm) in the most distal region of the lake. The sediment trapped near the point of inflow has a strong mode of fine sand and is strongly negatively skewed, reflecting the competence of the turbidity currents. Texture of the sediments deposited on the lake floor decreases distally from material dominated by coarse silt and fine sand to clay sized material. Sub-bottom acoustic data document more than 180 m of accumulation in the proximal region, decreasing to <20 m distally, making the mean rates of accumulation since deglaciation (16 and 1.8 mm yr−1, respectively) somewhat greater than those at present. This decrease is associated with changing environmental conditions and diversion of a significant portion of the drainage basin associated with the retreat of Strohn Glacier in the 20th century.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".