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Record W3194369640 · doi:10.21423/aabppro20123902

Understanding and controlling variability of iodine concentration in bulk-tank milk in Canada

2012· article· en· W3194369640 on OpenAlexaffabout
Kenneth G. MacDonald, G.P. Keefe, Jorge Ml. Sánchez, Jean‐Philippe Roy, D.F. Kelton, S. Hendrick

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2012
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsUniversity of SaskatchewanUniversity of GuelphUniversité de MontréalHealth PEI
Fundersnot available
KeywordsIodineMicronutrientInterimEnvironmental scienceBulk tankEnvironmental healthHerdAnimal scienceMedicineChemistryBiologyGeography

Abstract

fetched live from OpenAlex

Iodine is an essential micronutrient for dairy cattle and humans to maintain adequate metabolism. Feeding management practices for dairy cattle are aimed at achieving the recommended intake of micronutrients for optimal health. Testing has shown that iodine concentrations in bulk-tank milk (BTM) are highly variable between herds. While the current iodine concentration in retail milk does not present a substantial risk to human health, Health Canada has recommended an interim upper limit of 500 ppm of iodine in BTM. The objectives of this project were to determine the primary sources of variability for BTM iodine concentration and provide recommendations for best management practices to maintain BTM iodine concentrations within acceptable limits.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.060
GPT teacher head0.298
Teacher spread0.238 · 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 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
Published2012
Admission routes2
Has abstractyes

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