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Record W2125228001 · doi:10.1079/9781845933913.0107

The role of livestock in the foodborne transmission of <i>Giardia duodenalis</i> and <i>Cryptosporidium</i> spp. to humans.

2009· book-chapter· en· W2125228001 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCABI eBooks · 2009
Typebook-chapter
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsHealth Canada
Fundersnot available
KeywordsCryptosporidiumLivestockGiardiaTransmission (telecommunications)OutbreakBiologyZoonosisVeterinary medicineMicrobiologyVirologyFecesEcologyMedicine

Abstract

fetched live from OpenAlex

While person-to-person and waterborne transmission probably account for most human infections with Giardia duodenalis and Cryptosporidium spp., zoonotic transmission, particularly from livestock, has generated a great deal of interest in recent years. Both G. duodenalis and Cryptosporidium spp. are highly prevalent in cattle and other livestock, and zoonotic genotypes and species of these parasites have been identified in numerous studies. There is limited evidence, however, supporting the role of livestock as reservoirs for human infection. The association of livestock with the foodborne transmission of these parasites is also poorly recognized. Nevertheless, these animals have been associated with the presence of Giardia cysts and Cryptosporidium oocysts in a variety of foods, as well as with some foodborne outbreaks. The possible role of livestock in the contamination of produce, meats and other foods with G. duodenalis and Cryptosporidium spp., and its public health significance will be discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.613

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 head0.007
GPT teacher head0.216
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