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Record W2302681548 · doi:10.14288/1.0103526

Composting of invasive plant species : a discussion of the likelihood of the survival of propagules after a complete composting process

2011· article· en· W2302681548 on OpenAlexaffabout
Samantha Rempel

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPropaguleProcess (computing)CompostEnvironmental scienceWaste managementBiologyEngineeringEcologyComputer science

Abstract

fetched live from OpenAlex

In the Metro Vancouver region invasive plant species are removed from public lands by workers and volunteers. These invasive species are removed to ensure that the entire plant is taken so as not to leave any parts which could regenerate and spread. Disposal of the plant is then done under strict conditions in order to ensure that roots or seeds are not blown away to areas where they could germinate. Great care is taken to ensure that the work done by the workers and volunteers is not in vain and that the work does not contribute to the growth and spread of the invasive plant species being removed. After harvesting the invasive species the plant material is taken to Fraser Richmond Soil and Fibre where it undergoes a composting process. This process is believed to include sufficient temperatures to kill the propagules of the invasive species harvested. However, there have been stories telling of occurrences where this composted soil has been seen to produce the invasive species supposedly killed during the process. This paper aims to discover if the soil from this composting facility has the potential to spread the invasive species being harvested from the Metro Vancouver region and to suggest possible ways in which this question can be scientifically answered.

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 score0.392
Threshold uncertainty score0.965

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.026
GPT teacher head0.168
Teacher spread0.142 · 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
Published2011
Admission routes2
Has abstractyes

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