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Record W3124877547

ONTARIO: Neurotoxic cyanobacterium (blue-green alga) toxicosis in Ontario

2007· article· en· W3124877547 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

VenueEurope PMC (PubMed Central) · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHepatotoxinNeurotoxinCyanobacteriaToxinTrichotheceneBiologyToxicityMedicineInternal medicineEndocrinologyMicrobiology
DOInot available

Abstract

fetched live from OpenAlex

In May 2006, 3 dogs (2 Labrador retrievers and a weimaraner) in a group of 11 dogs died suddenly and unexpectedly within 1 h after swimming in a local pond at a dog sitter’s farm. The dogs had spent approximately 5 min at the pond during a supervised walk around the farm, and several of the dogs were observed swimming in the pond and eating the vegetation. When the dogs arrived back at the house, 2 dogs became weak and collapsed, with shallow breathing. The 3rd dog developed similar signs within minutes. A 4th dog, a Labrador retriever-cross, subsequently developed similar signs, but survived. Hyperglycemia and acidosis were documented from 2 of the dogs from which antemortem blood was collected. The only dog submitted for postmortem examination had no gross or microscopic lesions in tissues. Gastric content was negative for organophosphates, carbamates, strychnine, and the mycotoxins penetrim A and roquefortine. Brain cholinesterase activity was reduced at 0.6 μmol/g/min (reference range, 3.2 +/− 1.6 μmol/g/min). Pond water and stomach contents were positive for the neurotoxin anatoxin-a and negative for the hepatotoxin microcystins by liquid chromatography tandem mass spectrometry (LC/MS/MS). Blue-green alga produces 4 types of toxins: hepatotoxins, neurotoxins, lipopolysaccharide endotoxins, and cytotoxins. Hepatotoxins, particularly microcystins, appear to be the most common toxins identified in toxic blooms. Neurotoxins appear to be much rarer in toxic blooms. The most common blue-green algal neurotoxin is anatoxin-a, but all the neurotoxins interfere with the transmission of signals in neurons or across the neuromuscular junction, leading to muscular paralysis and, in severe cases, death due to respiratory failure. Animal poisoning associated with toxic blooms of cyanobacterium have been reported in all continents, except Antarctica, (1,2) and there have been a few reports of domestic animals and wildlife consuming freshwater contaminated with toxic blue-green alga blooms in Canada (3). These reports have been predominantly microcystin-containing hepatotoxic blooms occurring in Saskatchewan and Alberta. Microcystins have been identified in Ontario in the past few years as causing disease in dogs and humans. The authors could find no reports of neurotoxic cyanobactrial blooms from Ontario affecting domestic animals. This report of neurotoxic cyanobacterial (blue-green alga) toxicosis in dogs is noteworthy in that it may be the first report of this in Ontario and in that the early seasonal occurrence, in May rather than in late summer, was unexpected.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.191
Teacher spread0.179 · 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