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Record W4300986112 · doi:10.5281/zenodo.1299164

Animal Vaccines Market Size, Share and Growth till 2023

2018· article· en· W4300986112 on OpenAlexaboutno aff
Vijay

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMarket sizeBusinessEnvironmental scienceCommerce

Abstract

fetched live from OpenAlex

The global animal vaccines market is segmented based on various products, technologies and animal diseases. Product segment covers companion animal vaccines, poultry, livestock, porcine, aquaculture and equine. The companion animal vaccine sub-segment is further sub-divided into feline vaccines and canine vaccines. The livestock vaccines sub-segment includes bovine vaccines and ruminant vaccines. The livestock vaccines are the largest sub-segment in global animal vaccines market. However, companion vaccine and aquaculture are fastest growing sub-segments in global animal vaccines market.\n\nExplore Report Sample at: https://www.psmarketresearch.com/market-analysis/animal-vaccines-market/report-sample\n\nBased on technology, the market is segmented into live attenuated vaccines, subunit vaccines, in-activated vaccines, toxoid vaccines, recombinant vaccines, conjugate vaccines and DNA vaccines. DNA vaccine is the fastest growing technology in global animal vaccines market. This is due to factors such as thermo-stability, easy production, cost effectiveness and rapid development against emerging diseases. The animal diseases segment covers rabies, foot and mouth disease, avian influenza, gumboro disease and strangles.\n\nGlobal animal vaccines market is primarily driven by increasing incidences of zoonotic diseases in humans. Rising prevalence of animal diseases and growing investment by government bodies are also enhancing the growth of global animal vaccines market. In addition, technological innovations and introduction of innovative vaccines, such as DNA, are recombinant vaccines, and have fueled the growth of animal vaccines market. Furthermore, improving animal healthcare facilities in developed and developing parts of the world provides opportunity for the global animal vaccines market.\n\nBrowse Full Research Report at: https://www.psmarketresearch.com/market-analysis/animal-vaccines-market\n\nSome of the major competitors in the market include Pfizer, Sanofi-Aventis, Bayer HealthCare, Novartis, Boehringer Ingelheim, Ceva, Heska Corporation, Bioniche Animal Health Canada Inc. and Virbac.

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)0.001
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0610.066

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 head0.036
GPT teacher head0.236
Teacher spread0.199 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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