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Record W283923689

Stoney Creek Ecological Restoration Post-Project Appraisal: Soil Quality Survey

2013· article· en· W283923689 on OpenAlexaboutno aff
Adam Miśkiewicz, Celia Gao, Michael F. Wong, Nick Rong

Bibliographic record

VenueSummit (Simon Fraser University) · 2013
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceRiparian zoneBulk densitySoil textureSoil compactionSoil surveyWater qualityHydrology (agriculture)Soil waterSoil testHabitatSoil scienceEcologyGeologyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The state of the soil in the riparian area around an urban stream, Stoney Creek, in Burnaby, British Columbia was investigated. This site had recently been disturbed by a salmon habitat restoration project. Our study aimed to provide a first set of data for post-project soil quality assessments in this region. Four soil pits were excavated and various soil samples were collected. These samples were transported to the Soil Science Lab at Simon Fraser University for laboratory analysis, where soil texture, bulk density, acidity, water content and erodibility were assessed. Although no root growth limiting bulk density and pH levels were found, the results indicated that soil compaction had some effect on bulk density, acidity and water content. This set of soil data is limited in its comprehensiveness and therefore future soil quality monitoring projects are recommended.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.256
Teacher spread0.220 · 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
Published2013
Admission routes1
Has abstractyes

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