Dissolved Oxygen and Temperature on the Viability of Spawning Salmon
Bibliographic record
Abstract
To observe how dissolved oxygen (DO) levels and air and water temperature affect the viability of spawning salmon at Baker Creek (BC) in Quesnel, British Columbia and at Salish Creek (SC) in Vancouver, British Columbia. BC supports spawning Oncorhynchus gorbuscha (pink salmon) and SC used to support spawning Oncorhynchus kisutch (coho salmon). At each location, samples were taken to determine DO levels, air temperatures, water temperatures and a qualitative study of plant life at an upper and lower site at each creek was observed. The three null hypotheses are: DO levels will be the same at both BC and SC, water temperatures will be the same at both BC and SC, and air temperatures will be the same at both BC and SC. The alternative hypothesis is that DO levels and temperatures will be different at BC and SC. The data for DO levels, air temperatures and water emperatures was analyzed using a Welch’s t-test in R Software. After this analysis, the three null hypotheses were rejected and the alternative hypothesis was accepted. DO levels were significantly higher at SC compared to BC and water and air temperatures at SC were significantly higher compared to BC. The relationship between temperature and DO level is illustrated by Henry’s Law which indicates that colder temperatures equate to higher DO levels in water. Thus, our results illustrate an unexpected difference between expected DO levels and temperatures where pink salmon spawn in BC. At SC, DO levels were within a range to sustain coho salmon life, but the water temperature was outside of this range and may explain why spawning does not occur in SC.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".