Dissolved Organic Carbon in Northern Catchments and Understanding Hydroclimatic Controls: Northern Watershed Ecosystem Response to Climate Change (North‐Watch) Workshop II: Hydrological Regulation of Stream DOC in Northern Catchments; Vindeln, Sweden, 11–15 April 2010
Bibliographic record
Abstract
Predicting the integrated consequences of climate change on the physical, chemical, and biological characteristics of water resources is a difficult area of interdisciplinary environmental science. Fortunately, in many areas, research catchments have been established that provide the best longer‐term data sets that encompass integrated measurement of the linkages between the climate, hydrology, biogeochemistry, and ecology of river systems and how these are being affected by climatic change. North‐Watch is an interdisciplinary intersite comparison project funded by the Leverhulme Trust, in London, and run by the Northern Rivers Institute, University of Aberdeen, Aberdeen, United Kingdom. It aims to analyze long‐term data from experimental catchments including sensitive boreal, subarctic, and subalpine environments ranging from the Yukon to northern Sweden to the Scottish Cairngorms. The goal is to assess the integrated physical, chemical, and biological response to climatic change.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".