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Record W2807123575

The impact of climate change on mycotoxin contamination in cereal grains and the implications for children’s health in Canada

2017· dissertation· en· W2807123575 on OpenAlexaboutno aff
Danielle Tuori

Bibliographic record

VenueQSpace (Queen's University Library) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeContaminationMycotoxinEnvironmental scienceEnvironmental healthGeographyEnvironmental protectionEnvironmental planningEcologyBiologyBiotechnologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Climate change is currently the most pressing environmental concern, especially for northern climatic regions like Canada. Climate change impacts a wide variety of environmental factors that in turn alter vegetative processes, like that in cereal grains. As grain kernels weaken due to environmental stress it becomes increasingly susceptible to infection. This review will detail one such type of infection produced by fungi: mycotoxins. Mycotoxins come in several varieties of which five will be examined in this review: aflatoxin, ochratoxin, deoxynivalenol, fumonisins, and zearalenone. Mycotoxins cause many different types of illnesses ranging from gastrointestinal disruption to death. Since mycotoxins affect plants, all consumers are at a possible risk of infection, with the most vulnerable members of the population being children, due to their small body size. Therefore, this review will assess the impact of climate change on mycotoxin contamination in cereal grains and the implications for children’s health in a Canadian context.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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 designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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