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Record W29587891 · doi:10.1017/s0950268818000687

Recensão de “Natureza e espírito : uma unidade necessária”

2008· article· en· W29587891 on OpenAlexaboutno aff
Ermelinda Macedo

Bibliographic record

VenueEpidemiology and Infection · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsnot available
Fundersnot available
KeywordsUnit (ring theory)Psychology

Abstract

fetched live from OpenAlex

We aimed to describe the clinical characteristics of West Nile patients reported in Québec in 2012 and 2013 and to document physical, mental and functional status 24 months after symptom onset according to illness severity. The cases were recruited by a public health professional. Data were collected from public health files, medical records and two standardised phone questionnaires: the Short Form-36 and the Instrumental Activities of Daily Living. In all, 92 persons participated in the study (25 had West Nile fever (WNF), 18 had meningitis and 49 had encephalitis). Encephalitis participants were older, had more underlying medical conditions, more neurological symptoms, worse hospital course and higher lethality than meningitis or WNF participants. Nearly half of the surviving hospitalised encephalitis patients required extra support upon discharge. At 24-month follow-up, encephalitis and meningitis patients had a lower score in two domains of the mental component: mental health and social functioning (P = 0.0025 and 0.0297, respectively) compared with the norms based on age- and sex-matched Canadians. Physical status was not affected by West Nile virus (WNV) infection. In addition, 5/36 (15%) of encephalitis, 1/17 (6%) of meningitis and 1/23 (5%) of WNF participants had new functional limitations 24 months after symptom onset. In summary, mental and functional sequelae in encephalitis patients are likely to represent a source of long-term morbidity. Preventive measures should target patients at higher risk of severe illness after WNV infection.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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 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
Published2008
Admission routes1
Has abstractyes

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