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Record W4398219292 · doi:10.24908/ohi.v2i1.17564

Floating Wetland Project: A One Health Action Addressing Agricultural Nutrient Runoff in Niagara-on-the-Lake

2024· article· en· W4398219292 on OpenAlex
Kathleen Gardner, Ashley Khan, Parth Khatana, Clara Murray, Caitlin Remus, Maddie Troisi

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 · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandSurface runoffNutrientEnvironmental scienceAgricultureWater resource managementHydrology (agriculture)Environmental planningGeographyEcologyEngineeringArchaeologyBiology

Abstract

fetched live from OpenAlex

Nutrient loading refers to the process whereby excess nutrients, such as phosphorus (P) and nitrogen (N), enter bodies of water and deposit within the sediment. Nutrient loading commonly occurs as a result of human-generated changes to land cover causing an increase in nutrient availability. Agricultural runoff presents one of the largest contributors to nutrient loading, especially within Southern Ontario, Canada. Because higher than normal levels of N and P within bodies of water can affect the health of humans, non-human animals, and the environment, a One Health approach is needed to address the issue of agricultural nutrient loading. This article outlines a cost-effective, grassroots action designed to reduce excess nutrient levels within the Niagara River. It involves introducing floating wetlands to filter excess agricultural nutrients and improve water quality, generating healthier conditions for humans, non-human animals, and the environment.

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)0.001
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 score0.719
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.103
GPT teacher head0.331
Teacher spread0.228 · 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