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Record W3211318476 · doi:10.21423/aabppro20104114

Association of Coagulase Negative Staphylococcal Species and Milk Somatic Cell Count of Cows from the Canadian National Cohort of Dairy Farms

2010· article· en· W3211318476 on OpenAlexaboutno aff
Jeanette Perry, John R. Middleton, Simon Dufour, D.T. Scholl, Christopher D. Calloway, S. Anderson

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsnot available
Fundersnot available
KeywordsCoagulaseMastitisSomatic cell countBiologyStaphylococcusMicrobiologyStaphylococcus aureusImmunologyBacteriaPregnancyLactation

Abstract

fetched live from OpenAlex

Staphylococci are a diverse group of gram-positive cocci that can infect the cow's mammary gland. For the purposes of diagnosing intramammary infection (IMI), staphylococci are classified based on their ability to clot plasma (coagulase test) as either coagulase-positive or coagulase-negative. The most commonly isolated coagulase-positive staphylococci, S. aureus, is considered a major mastitis pathogen. In contrast, coagulase-negative staphylococci (CNS) have historically been classified as minor mastitis pathogens and are rarely, if ever, further differentiated when diagnosing an IMI. The assumption has been that, as a group, CNS cause minor elevations in milk somatic cell count (SCC). However, there has been recent interest in the role of CNS in mammary gland inflammation. The aim of this study was to evaluate the relationship between CNS species and mammary quarter SCC.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.179
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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