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Record W4322578478 · doi:10.21423/aabppro20054795

Mycoplasma bovis

2005· article· en· W4322578478 on OpenAlexaffabout

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsShared HealthUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePolyarthritisPneumoniaPathologyArthritisLungInternal medicine

Abstract

fetched live from OpenAlex

In Canadian and probably most US feedlots, Mycoplasma bovis pneumonia with or without concurrent arthritis is found in a high percentage of antibiotic nonresponsive, chronically sick cattle. Extensive multifocal yellow areas of caseation-like necrosis with sequestra formation are characteristic lesions. Subacute to chronic fibrinous or fibrosing pleuritis may accompany the lung lesions. Arthritis with similar necrotizing lesions of adjacent soft tissues, including tendon sheaths, are present in some cases. Characteristic gross lesions, unique histologic lesions and confirmation by IHC demonstration of M. bovis in these lesions are the best diagnostic tools in our experience. This chronic pneumonia and polyarthritis syndrome (CPPS) is a very costly syndrome in the feedlot industry, and management changes will probably be needed to control the problem. Vaccines are unlikely to be the solution to this problem. Prevention of transient BVDV infections is a scheme that may be beneficial, but more experimental work is required to confirm this.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes2
Has abstractyes

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