Paper: A112 Stream Water Temperature and Climate Change-An Ecological Perspective
Bibliographic record
Abstract
Abstract. Rivers and streams are complex environments where physical, bio-logical and chemical processes take place simultaneously and jointly determine water quality. Freshwater must be well managed and protected because it shel-ters an enormous number of aquatic species. In this context, stream water tem-perature is a crucial water quality parameter, for it determines the fitness and life of all aquatic organisms. This work reviews the thermal tolerance of such organisms, summarizes their behavioral and physiological responses to tem-perature, and outlines the major factors determining water temperature. To pre-dict the influence of both air temperature and climate change on streams, Moh-seni's nonlinear model is reviewed and applied to several monitored watersheds in Ontario. A detailed case study involving Wilmot creek shows both the suit-ability of Mohseni's model for existing temperature regimes, and predicts that an increase of 5°C in air temperature will will likely result in an increase in av-erage weekly stream temperatures of between 2.6°C and 3.3°C.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.037 | 0.003 |
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".