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Record W183400767 · doi:10.21423/aabppro19995597

Biosecurity Practices to Limit Spread of Staphylococcus aureus on Ontario Sentinel Dairy Farms

2020· article· en· W183400767 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTexas A&M University Libraries · 2020
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsUniversity of GuelphMinistry of Agriculture, Food and Rural Affairs
Fundersnot available
KeywordsHerdBiosecurityMilkingVeterinary medicineAnimal scienceBiologyMedicine

Abstract

fetched live from OpenAlex

From May 1997 to December 1998, 40 dairy veterinarians from across the province, and 60 of their dairy producer clients, participated in the Sentinel Herd pilot project. Composite milk samples from all lactating cows in each herd were collected and cultured every 4 months. A milking and management questionnaire was administered to each participating producer at the time of the initial herd culture. Several questions pertaining to the herd's biosecurity practices were included. Based on the first 4 rounds of herd cultures, only 4 herds did not have any cows from which Staphylococcus aureus (HS) was isolated (negative herds). Three herds had positive cows on 1 herd culture and 6 herds had positive cows on 2 herds cultures. Fifteen herds were positive 3 times and 32 herds, all 4 times. As HS has been shown to be present in most of these herds, it is likely that many herds run a great risk of introducing this infection at some time. Therefore, it is of importance to examine the factors that appear to control it within a herd, once introduced.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.284
Teacher spread0.191 · 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