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Record W6925239685 · doi:10.17632/nytpb5mrfm.1

Bloom Announcement: 2017 Hamilton Harbour Lake Ontario (Ontario Canada) Cyanobacterial Bloom

2021· dataset· en· W6925239685 on OpenAlexaboutno aff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2021
Typedataset
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsHarbourEutrophicationBloomClimate changeAlgal bloomWater qualityHydrology (agriculture)Aquatic plant

Abstract

fetched live from OpenAlex

In 2017, cyanobacterial blooms were observed and characterized in Hamilton Harbour, Lake Ontario (Ontario, Canada) along Bayfront Park Beach. Hamilton Harbour is a large embayment at the western part of Lake Ontario with a long history of anthropogenic impacts, particularly from industrial effluent and residential wastewater. The beneficial use of Bayfront Park Beach has been classified as impaired for beneficial use impairment (BUI) #8, Eutrophication or Undesirable Algae, and BUI #10, Beach Closings and Water Contact Sports, under the Hamilton Harbour’s Remedial Action Plan. As part of Environment and Climate Change Canada’s Great Lakes Action Plan, monthly sampling of whole water grabs, within and outside the blooms, occurred from July to November inclusive. This dataset includes biological and physico-chemical data associated with an article published in the peer-reviewed journal, Data in Brief.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.089
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.030

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 head0.010
GPT teacher head0.177
Teacher spread0.167 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2021
Admission routes1
Has abstractyes

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