Correlation Between Stream Discharge and Dissolved Oxygen Concentration at Salish Creek, Vancouver Pacific Spirit Park
Bibliographic record
Abstract
Stream discharge and dissolved oxygen (DO) concentration are important abiotic factors for salmon. The existence of a linear correlation between these two abiotic factors could bear significance to the salmon ecosystem. In this study, we examined the existence of a linear correlation, or the lack thereof, between these two variables with our alternative hypothesis being that there is a linear correlation between the two variables. To do this, we measured DO concentration and stream discharge at 3 ripple water sites and 3 still water sites from upper Salish Creek. Stream discharge was calculated using the wetted depth, the wetted channel width, and the stream velocity. The correlation coefficient was found to be -0.516, suggesting a moderate negative trend. Using the Pearson’s Product Moment Correlation test, P-value was found to be 0.296, and at a significance level of 0.05, P-value > 0.05. Thus, we failed to reject the null hypothesis. This may be due to the increased amount of organic matter leading to greater biochemical oxygen demand (BOD) caused by the mixing of the water column at ripple water sites, and a greater BOD would result in a lower DO. We conclude that there was not enough statistical evidence to indicate that there is a linear correlation between stream discharge and DO concentration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".