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Record W4317888404 · doi:10.24908/ohi.v1i1.16059

The utilization of hydrophobic wax beads for the absorption of gas particles: A one health approach to address fuel spills in lake Muskoka

2022· article· en· W4317888404 on OpenAlex
Emma Klawitter, Riley Cook, Julie Wallace, Wesley Geerlinks, Braeden Levac

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOne Health Innovation · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsHuman healthEnvironmental scienceWaxCarnauba waxEnvironmentally friendlyEnvironmental chemistryWaste managementMicroplasticsEnvironmental protectionEnvironmental engineeringChemistryEcologyEnvironmental healthEngineeringBiology

Abstract

fetched live from OpenAlex

The prevalence of recreational, motorized boating on freshwater lakes has significantly increased in the last decades. Consequently, there has been an increase in fuel spills and an accumulation of toxic polycyclic aromatic hydrocarbons (PAHs), which can have significant adverse health impacts on humans, non-human animals, and the environment. As previous initiatives to clean up spills have often been invasive, tough to follow, and environmentally intolerant, a One Health approach is necessary to address this issue. This article proposes a cost-effective and environmentally friendly solution to remove PAHs from Lake Muskoka in Ontario, Canada. The solution, based on principles of hydrophobic interactions, employs Carnauba wax beads in mesh cages to absorb PAHs from the water. This natural absorbent technology could lead to improvements in the overall quality of life and health of humans, non-human animals, and the environment. If deemed successful, this technology may be adapted to other bodies of water to mitigate the damage of PAHs on freshwater ecosystems.

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.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.076
GPT teacher head0.308
Teacher spread0.232 · 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