Developing a Dynamic Simulation Model for Phosphorus Cycling in Lakes(Case Study: Lake Ontario)
Bibliographic record
Abstract
Food cycle creates a mechanism through which nutrients and other components of life are available for the living organisms. Improper function of the cycle may lead to disruption in the life cycle of organisms. In this paper, the dynamic flow of phosphorus, which is essential for plant growth, was studied considering three state variables: productive organisms (organic phosphorus), dead organisms (organic phosphorus) and inorganic phosphorus. According to the three state variable’s feedbacks, phosphorus and phytoplankton simulation model was developed using the system dynamics approach and considering governing equations, feedback loops, and input and output streams. The behavior of each state variable was evaluated during a year for Lake Ontario. The result revealed that the model benefits from the desired performance in simulating and estimating the variable concentrations. It can be clearly seen that stratification and completely mixing of the lake during two periods (day 100 to 158, and day 315 to 335) have paramount impact on the variable concentrations.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".