Fish migration and reproduction in urban environment — restoration of the Lososinka River as habitat for the Onega Lake salmon, Petrozavodsk
Bibliographic record
Abstract
To enable natural spawning, new projects to construct fish passes are going on in most big rivers in Finland. In the Interreg project «Restoring salmon runs into Oulu and Lososinka Rivers» fish pass options were examined for rivers in Finland and in Russia. Oulujoki River, once a famous salmon river is totally constructed and only few reproduction sites are left in the main channels and in some tributaries. To create new reproduction area, the principle of spawning channels which are commonly constructed in Canada, was integrated in the planning of nature-like fish passes. To optimize the area and quality of reproduction habitats, flow and habitat 2D modeling was used. The Lososinka River in Petrozavodsk, capital of Karelian Republic is a small urban stream 25 km long. It is blocked by dams, but there is still existing an original stock of landlock Onega Lake salmon. In the project measures for enabling migration through three dams in the city centre area were proposed. There are excellent reproduction habitats above the dams. Because of the value of the river as a key element in the urban environment, the landscape values had to be considered.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".