Impacts of climate changes on dissolved oxygen \nconcentrations in Quebec Province lakes.
Bibliographic record
Abstract
L’étendue et la localisation des habitats de plusieurs espèces de salmonidés sont régies \npar la température de l’eau et les concentrations en oxygène dissous. Le touladi, par exemple, \npréfère des températures sous les 12° ou 15° C et des concentrations en oxygène dissous \nsupérieures à 4 ou 6 mg L⁻¹. Les gestionnaires qui désirent améliorer la gestion de ces espèces \nont besoin d’une meilleure compréhension de l’impact des changements climatiques sur les \ntempératures et les concentrations en oxygène dissous dans ces habitats. Notre projet utilise un \nmodèle de lac simple, MyLake, pour reproduire les conditions actuelles de température et \nd’oxygène dissous dans les lacs et, par la suite, pour proposer des scénarios crédibles de \nl’évolution de ces habitats dans un futur rapproché (2041-2070) et dans un futur plus éloigné \n(2071-2100). Afin d’étudier les variations latitudinales entre le Québec et le Nunavik, nous avons \nproduit une section nord-sud (48° à 60° N) des valeurs estimées de la température de l’eau et \ndes concentrations en oxygène dissous pour les deux horizons futurs. Abstract The size and location of many salmonid habitats are controlled by water temperature \nand dissolved oxygen concentrations. Lake trout, for example, prefers water temperatures \nbelow 12° to 15 °C and oxygen levels above 4 to 6 mg L⁻¹. To improve the management of these \nresources, we need a better understanding of how the temperature and oxygen habitats of \nsalmonids will be impacted by expected climate changes. This project used a simple lake model, \nMyLake, to firstly reproduce current temperature and dissolved oxygen habitats and secondly, \nto generate plausible habitat scenarios in the near (2041-2070) and more distant (2071-2100) \nfuture. Finally, we produced a south-north section of predicted temperature and dissolved \noxygen between 48°N and 60°N in the near and far futures to study the latitudinal changes over \nNunavik and southern Quebec.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".