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Record W2884249044 · doi:10.14745/ccdr.v41i11a04

Ciguatera fish poisoning in an international ship crew in Saint John, Canada: 2015

2015· article· en· W2884249044 on OpenAlexafffundvenueabout
C Muecke, L Hamper, AL Skinner, Christopher Osborne

Bibliographic record

VenueCanada Communicable Disease Report · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsPublic Health Agency of Canada
FundersPublic Health AgencyPublic Health Agency of CanadaCanadian Food Inspection Agency
KeywordsCrewSAINTFisheryFish <Actinopterygii>CiguatoxinAeronauticsEngineeringBiologyHistoryArt history

Abstract

fetched live from OpenAlex

An international ship crew presented for medical care in Saint John, New Brunswick, following rapid onset of gastrointestinal and in some cases neurological and cardiac symptoms after a common fish meal.Ciguatera poisoning was identified as the cause of illness.This report describes the public health investigation and management of this incident, including collaboration between the implicated provincial and federal authorities. Case presentationOn April 11, 2015, nine male crew members of an international cargo vessel docked in Saint John, New Brunswick (NB) presented to the emergency department at the Saint John Regional Hospital (SJRH) with gastrointestinal symptoms (nausea, vomiting, diarrhea and abdominal cramps).Other significant symptoms included dizziness, weakness and peripheral extremity paresthesia.When examined, several of the men were further found to have hypotension and bradycardia.All were admitted for intensive care-level monitoring and management, including continuous cardiac monitoring, atropine for bradycardia, antiemetics and intravenous rehydration.Within a few hours, five more crew members presented with the same symptoms and were also admitted.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.294
Teacher spread0.260 · 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 designCase report
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

Citations5
Published2015
Admission routes4
Has abstractyes

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