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Record W3096215515 · doi:10.36660/abc.20200487

Alterações da ECA2 e Fatores de Risco para Gravidade da COVID-19 em Pacientes com Idade Avançada

2020· article· pt· W3096215515 on OpenAlexaff
Caio de Assis Moura Tavares, Thiago Junqueira Avelino‐Silva, Gil Benard, Francisco Akira Malta Cardozo, Juliana Ruiz Fernandes, Adriana C. C. Girardi, Wilson Jacob Filho

Bibliographic record

VenueArquivos Brasileiros de Cardiologia · 2020
Typearticle
Languagept
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineARDSPathogenesisCoronavirus disease 2019 (COVID-19)Acute respiratory distressSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)LungAngiotensin-converting enzyme 2Receptor2019-20 coronavirus outbreakRenin–angiotensin systemInternal medicineImmunologyVirologyBlood pressure

Abstract

fetched live from OpenAlex

ACE2, SARS-CoV-2 Infection and Aging Abnormalities induced by aging in metabolic pathways may partly explain the higher rate of COVID-19 morbidity and mortality in elderly patients. These include those belonging to the renin-angiotensin system (RAS), given the crucial role that this system plays both in viral transmissibility and in the pathogenesis of acute lung injury and its most severe form: acute respiratory distress syndrome (ARDS). ACE2 is known to act as a receptor for SARS-CoV-2 1 structural protein S (spike), [...]

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)0.004
metaresearch head score (Gemma)0.145
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.145
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.136
GPT teacher head0.427
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2020
Admission routes1
Has abstractyes

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