Arctic Lake Response to Warming: A Paleolimnological Investigation in the Northwest Territories, Canada
Bibliographic record
Abstract
The overall objective is to determine how responsive lake primary production at the northern treeline is to warming today in comparison to the Holocene Thermal Maximum (HTM) to increase our knowledge of Arctic lake ecosystem sensitivity to climate change. Paleolimnological techniques, including chlorophyll a and biogenic silica to infer overall lake and diatom production, respectively, were measured in 10,000-year sediment records from two tundra lakes, Queen’s and McMaster Lakes, located near Yellowknife, Northwest Territories. Diatoms were enumerated to identify lake ecosystem response to warming. Lake primary production increased at both lakes during the HTM beginning about ~8,400 cal yr BP due to warming temperatures. Recent anthropogenic warming is more rapid than during the HTM and recent increases in lake primary production are unprecedented. Changes in diatom community composition indicate that increased temperatures during both warming periods led to decreased ice-cover duration and increased growing season serving as drivers for increased lake production.
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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 | 0.003 |
| Science and technology studies | 0.003 | 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".