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Record W6991647189

Identification of Mycobacterium avium subspecies paratuberculosis strains isolated from dairy goats and dairy sheep in Ontario, Canada

2017· article· en· W6991647189 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2017
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
Fundersnot available
KeywordsMycobacterium avium subspecies paratuberculosisSubtypingSubspeciesParatuberculosisTypingMycobacterium avium subsp. paratuberculosisFecesPopulation
DOInot available

Abstract

fetched live from OpenAlex

The main objective of this study was to identify the circulating strains of Mycobacterium avium subspecies paratuberculosis (Map) in fecal isolates obtained from dairy goat (N = 29 farms) and dairy sheep (N = 21 farms) populations in Ontario, Canada. Further subtyping was performed to determine if there was adequate diversity between strains that could be used to establish Map transmission patterns. Type C was the dominant strain of Map isolates (95.2%) identified in dairy goats (n = 21). Sub-typing of the Type C strains, based on variable number tandem repeats (VNTR) and mycobacterial interspersed repetitive units, identified 3 VNTR types: INMV 1 (n = 10), INMV 2 (n = 10), and a type not previously identified (n = 1). Only 2 sheep isolates could be identified; both were Type S, sub-type III. Current typing methods demonstrate little Map diversity in the dairy goat population and are therefore of limited use to investigate infection patterns.

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 score0.065
Threshold uncertainty score0.750

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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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