Lake abundance, potential water storage, and habitat distribution in the Mackenzie River Delta, western Canadian Arctic
Bibliographic record
Abstract
The complete landscape surface of the active Mackenzie River Delta (13,135 km2) was manually partitioned into discrete lakes (3331 km2), channels (1744 km2), wetlands (1614 km2), and dry floodplain area (6446 km2) via GIS analysis of digital topographic maps recently available for the system. The census total of lakes (49,046) is almost twice as large as prior estimates. Using this new information, total lake volume in the delta during the post river flooding period is estimated as 5.4 km3. Total floodwater storage in the delta lakes and floodplain at peak water levels is estimated at 25.8 km3 and thus is equivalent to about 47% of Mackenzie River flow (55.4 km3 yr−1) during the high‐discharge period of delta breakup. During this period the stored river water can be envisioned in the form of a thin layer of water (2.3 m thick on average) spread out over 11,200 km2 of lakes and flooded vegetation and exposed to 24 h d−1 solar irradiance. Consequently, this temporarily stored water has significant potential to affect the composition of river water flowing to the Beaufort Shelf as it recedes to the river channels after the flood peak.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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 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".