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Record W4412123866 · doi:10.13031/aim.202500777

Recycling polymers to make greenhouses

2025· article· en· W4412123866 on OpenAlexaboutno aff
Patrick Brisebois, Lucas Ohmer, Simon Joncas, Claudiane Ouellet‐Plamondon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsGreenhouseComputer sciencePolymerMaterials scienceComposite material

Abstract

fetched live from OpenAlex

<b><sc>Abstract.</sc></b> Canadian food self-sufficiency is a major issue and current domestic greenhouse production can produce a part of consumption. However, a large amount of Canada's food supply is imported, and road transport is currently a major Canadian political issue, which also generates greenhouse gases (GHG). To develop the locality and circularity of products from greenhouse production, the project aims to develop new greenhouse designs by recycling agricultural polymers that are accumulating on Canadian farms and that can be used for another cycle. Formulating new polymers based on recycled polyethylene (PE), polymethyl methacrylate (PMMA), and other types should answer this challenge. In this work, a protocol was established to ensure the quality control of the recycled PE materials. One type of structural composite is designed based on the recycled agricultural polymers. The new greenhouse design also aims to reduce the greenhouse's energy consumption. The use of renewable energy combined with these new materials can also limit the use of fossil energy. The new greenhouse design should increase crop yields, reducing production costs. It will contribute to building a more diversified and sustainable food system.

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: none
Teacher disagreement score0.959
Threshold uncertainty score0.178

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 head0.006
GPT teacher head0.219
Teacher spread0.214 · 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
Published2025
Admission routes1
Has abstractyes

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