Two-dimensional depth-averaged phytoplankton growth modelling in the Rideau River (Black Rapids-Hog's Back reach)
Bibliographic record
Abstract
The present study was carried out to model the algal growth in Black Rapids-Hog's Back reach of the Rideau River. In this study a two-dimensional depth-averaged hydrodynamic model (HYDROSIM) and a transport model (DISPERSIM) both packaged in a GUI called MODELEUR were used. The model has been developed by Scientific Research Institute (INRS-EAU), Quebec. A model for growth and transport of algae was developed which was incorporated in the existing transport model, DISPERSIM. The simulated results of velocity vectors from HYDROSIM showed an agreement with the Acoustic Flowmeter For Remote Areas (AFFRA) measurements although the simulated values were always on the lower side. The modelling results of MIKE3D and a study carried out in 1997 support the results of the flow modelling in the present study. (Abstract shortened by UMI.)
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".