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Record W2044546175 · doi:10.1080/14634988.2011.577394

The application of Vollenweider's eutrophication models for assessing ecosystem health: Hamilton Harbour (Lake Ontario) example

2011· article· en· W2044546175 on OpenAlexafffundabout
M. Munawar, M. Fitzpatrick

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsFisheries and Oceans Canada
FundersHealth Canada
KeywordsHarbourEutrophicationEnvironmental scienceEcosystemWater qualityEcosystem healthEnvironmental resource managementEcologyEnvironmental planningEnvironmental protectionEcosystem servicesNutrientComputer scienceBiology

Abstract

fetched live from OpenAlex

This note is motivated by the classical Vollenweider eutrophication models which were instrumental in the phosphorus abatement provisions of the Great Lakes Water Quality Agreement. The models were revisited as a tool for assessing the ecosystem health of Areas of Concern in terms of Beneficial Use Impairments and potential recovery. The models indicated that Hamilton Harbour is a hyper-eutrophic environment in spite of continued phosphorus abatement management efforts. The utility and potential of these models have been demonstrated and recommended for application not only in Areas of Concern, but also other stressed environments.

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)0.004
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 score0.647
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.058
GPT teacher head0.276
Teacher spread0.218 · 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

Citations9
Published2011
Admission routes3
Has abstractyes

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