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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 OpenAlex

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

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.062
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.010
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