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Record W7081931167 · doi:10.36487/acg_repo/2515_97

Characterisation of the Pinus banksiana root system to adjust the thickness of the coarse layer over a cover system used to control contaminated mine drainage in a boreal context

2025· article· en· W7081931167 on OpenAlexaboutno aff

Bibliographic record

VenueMine closure · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPinus <genus>Black spruceTaigaCover (algebra)Root systemContext (archaeology)Infiltration (HVAC)Drainage

Abstract

fetched live from OpenAlex

To manage contaminated mine drainage, multilayered covers can be used to reclaim mine sites. Multilayered covers are composed of three to five layers of materials with contrasting hydrogeotechnical properties to limit water infiltration and/or oxygen migration into the tailings. To protect the core integrity of this cover system against climatic conditions, animals, and plant roots, a coarse layer (protection layer) is placed over the barrier layer between the mine waste and the outside environment. The roots of deep-rooted plants should be prevented from reaching the barrier layer below the protection layer; if root penetration occurs, it could alter the hydrogeotechnical properties of the barrier layer, causing performance loss. Furthermore, the design of the protection layer must anticipate long-term ecosystem changes that may influence cover performance. However, data representative of future ecosystems at reclaimed sites can be difficult to acquire by conventional methods. Studying a natural analogue of a multilayered cover can help to obtain these data. In this paper, the root systems of nine Pinus banksiana (77 to 119 years old) and four Picea mariana (76 to 94 years old) were studied in a well-drained sand (used as a protection layer analogue) on a gold mine site located in the boreal zone in Northern Quebec, Canada. Maximum rooting depth (MRD) and root colonisation along the soil profile were characterised by species. The MRD of Pinus banksiana was 100 cm and that of Picea mariana was 60 cm. Pinus banksiana and Picea mariana rooting occurrence and density, as well as Pinus banksiana root length density (RLD) distribution, were mostly concentrated (> 80%) in the top 30 cm of the sand. These data will be useful to adjust the thickness of the coarse layer to be placed above the barrier layer in a multilayered cover constructed to reclaim a tailings storage facility and facilitate the long-term performance of multilayered covers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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