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Record W35104198

Experience in control of avian influenza in the Americas.

2007· article· en· W35104198 on OpenAlexaboutno aff
Carolina Liseth Rodríguez Villarreal

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsBiosecurityInfluenza A virus subtype H5N1OutbreakHighly pathogenicVaccinationGeographyEpidemiologyMass vaccinationAvian influenza virusEnvironmental healthVeterinary medicineEnvironmental protectionBiologyVirologyMedicineVirusEcology
DOInot available

Abstract

fetched live from OpenAlex

The outbreaks of highly pathogenic avian influenza (HPAI) in Canada in 1966, the USA in 1984 and Mexico in 1994 led to a clear increase in biosecurity measures and improved intensive poultry production systems. In the past 12 years (1994-2006), there have been four outbreaks of HPAI on the American continent: in Mexico in 1994 (H5N2), in Chile in 2002 (H7N3), in the USA in 2004 (H5N2) and in Canada in 2004 (H7N3). In all cases, the control and eradication measures were based on prompt detection, depopulation of infected farms and epidemiological contacts, increased biosecurity measures and control of the movement of live poultry and their products, by-products and infected material. In Mexico, in addition to the aforementioned measures, the use of massive vaccination allowed eradication of HPAI in a relatively short time in two affected areas of high-density commercial poultry.

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)0.000
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 score0.103
Threshold uncertainty score0.089

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.067
GPT teacher head0.279
Teacher spread0.211 · 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

Citations18
Published2007
Admission routes1
Has abstractyes

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