Caractérisation des propriétés de rétention hydrique et de conductivité hydraulique dans les sols boréaux de la baie de James : présentation d’une démarche expérimentale et de résultats préliminaires / Characterization of Water Retention and Hydraulic Conductivity in Boreal Soils of the James Bay Region: Presentation of an Experimental Protocol and Preliminary Results
Bibliographic record
Abstract
Little is still known about hydrological properties of boreal soils. Nevertheless, boreal areas constitute one of the most important regions for hydroelectric production in Quebec and knowledge of the physical and hydrodynamic properties of these soils is essential to predict inflows when using a deterministic hydrological model. The study site is located in the eastern part of James Bay, near La Grande River on the Nécopastic drainage basin (54°N,78°W). The five main soils found along a characteristic topo-sequence were identified. The pedological horizons that constitute these soils were sampled individually as well as the soil cover which is made of sphagnum, hepatic mosses and lichens. This paper presents the methods used to measure the physical and hydrodynamic properties of individual covers and pedological horizons. This protocol is part of the data collection framework supporting the parameterization of a distributed hydrologic model.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".