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Record W2773755846

Bovine Tuberculosis in Dots Implemented Area of Nepal

2012· book· en· W2773755846 on OpenAlexaboutno aff
Tara N. Gaire, Suyog Subedi

Bibliographic record

Venuenot available
Typebook
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsTuberculinTuberculosisMycobacterium bovisBovine tuberculosisMedicineVeterinary medicineIngestionTuberculin testPulmonary tuberculosisMycobacterium tuberculosisImmunologyInternal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Mycobacterium bovis is significant Zoonoses that can spread through aerosols and by ingestion of raw milk. Research was conducted to find out the cases of bovine tuberculosis in 50 animals reared by 25 tuberculosis (TB) infected persons that are getting the Directly Observation Treatment for Shorts coarse (DOTS) at Kavre District of Nepal. The intradermal cervical tuberculin test was followed to identify the bovine tuberculosis by injecting 0.1 ml of tuberculin antigen from Canadian Food Agency and measuring the increase in thickness after 48 and 72 hours. Results was taken to be negative if the change in thickness waless than 2.0 mm.The thickness remain the same in 45 animals (90%) and 5 animals (10%) were positive for tuberculin having the change in skin thickness. Similarly among the 25 tuberculosis inhousehold, 13(52%) had an extra pulmonary type of TB and 12(48%) had pulmonary type of TB. Animals were also higher infected (60%) in household where their owner had extra pulmonary type of TB. Overall prevalence of TB in human where their animal was infected with BTB in our study area was 20%.

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)0.001
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.048
GPT teacher head0.347
Teacher spread0.299 · 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 routes1
Has abstractyes

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