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Record W2520197433 · doi:10.1183/13993003.00629-2016

Treatment of human disease due to<i>Mycobacterium bovis</i>: a systematic review

2016· review· en· W2520197433 on OpenAlexaff
Zhiyi Lan, Mayara Lisboa Bastos, Dick Menzies

Bibliographic record

VenueEuropean Respiratory Journal · 2016
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsMcGill University Health CentreMcGill University
FundersCenters for Disease Control and PreventionWorld Health OrganizationUnited States Agency for International Development
KeywordsMycobacterium bovisTuberculosisDiseaseMycobacterium tuberculosisInfectious disease (medical specialty)Transmission (telecommunications)MedicineBovine tuberculosisBiologyVirologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Mycobacterium bovis , a member of the Mycobacterium tuberculosis complex, is an important cause of disease in cattle, but it can also cause disease in humans [1]. Transmission to humans generally occurs after close contact with infected animals or consumption of unpasteurised contaminated dairy products [1, 2]. The symptoms of human disease due to M. bovis are similar to those of disease caused by M. tuberculosis , although M. bovis is more likely to cause extrapulmonary disease [3]. In clinical practice, M. bovis can only be differentiated from M. tuberculosis using biochemical or genetic tests [3, 4]. Only limited evidence exists to support current recommendations for the treatment of human disease due to M. bovis <http://ow.ly/h92K3023fLu> The authors thank Philip A. LoBue (Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA), Christof J. Majoor (Academic Medical Center, Amsterdam, the Netherlands) and Ezequiel Cordova (Infectious Diseases Unit, Hospital Cosme Argerich, Buenos Aires, Argentina) for providing additional information.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.099
GPT teacher head0.405
Teacher spread0.306 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations41
Published2016
Admission routes1
Has abstractyes

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