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Record W2552918471 · doi:10.21000/jasmr01010097

SALINE PRE-TREATMENT OF JACK PINE SEEDLINGS FOR PLANTING ON RECLAMATION SITES IMPACTED BY SALINE TAILINGS

2001· article· en· W2552918471 on OpenAlexafffundabout
Jennifer Franklin, Janusz J. Zwiazek

Bibliographic record

VenueJournal American Society of Mining and Reclamation · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaSyncrudeSuncor Energy Incorporated
KeywordsLand reclamationTailingsSalineSowingEnvironmental scienceAgronomyArchaeologyGeographyBiologyChemistry

Abstract

fetched live from OpenAlex

The Athabasca oil sands in northern Alberta, Canada are saturated with bitumen, which is recovered by surface mining. Current tailings management includes the production of a non-segregating clay/sand material, which is deposited in holding cells as slurry. When the deposit is trafficable, plans are to reclaim the land to a productive forest. The tailings and associated waters are relatively saline, with the main ions being sodium, chloride and sulfate. The objective of this study was to increase survival rates of jack pine planted on tailings deposits by selecting tolerant seedlings prior to planting. Jack pine seedlings were treated with saline solutions containing NaCl, Na 2 S0 4 or tailings water at 30-days-of-age. Surviving seedlings were planted on a test tailings deposit, or in a controlled environment chamber where plants were treated with tailings water or salts alone. Results show that salt treatments increased survival of field-planted seedlings, likely by increasing their drought tolerance.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.262
Teacher spread0.245 · 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 designSimulation or modeling
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
Published2001
Admission routes3
Has abstractyes

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