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Unistrain PRRS: protección heteróloga probada

2013· article· en· W30737723 on OpenAlexfundaboutno aff
Isaac Rodríguez Ballarà

Bibliographic record

VenueAnaporc: revista de la Asociación de Porcinocultura Científica · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsBusiness

Abstract

fetched live from OpenAlex

Alcohol use leads to a substantial number of hospitalizations, and to increased health and social harms as well as economic costs in Ontario and across Canada. The effects of alcohol price changes on consumption and resulting harms have been firmly established; changes in the minimum price of alcohol have the greatest effect on consumption among people who for reasons of affordability consume low-priced alcoholic beverages, typically adolescents, people with lower socio-economic status, and people with harmful alcohol use. Decreases in inflation-adjusted minimum pricing in British Columbia from 2002 to 2006 have been associated with increases in deaths wholly attributable to alcohol. Furthermore, decreases in alcohol prices have been previously associated with increases in drink-driving, decreases in life expectancy, increases in road traffic injuries, violence, and alcohol poisonings, and long-term increases in deaths from infectious diseases, circulatory diseases, and digestive diseases. Based on the findings of previous studies, lowering the cost of alcohol will negatively impact the health of Ontarians and further strain a healthcare system with limited resources. Accordingly, Ontario should be strengthening alcohol policies to improve public health, including raising the minimum price of alcohol, rather than weakening alcohol policies.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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 designNot applicable
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
Published2013
Admission routes2
Has abstractyes

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