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Record W4400321675 · doi:10.36660/abcimg.20240022

O que o Cardiologista Espera Sobre a Ecocardiografia nas Aortopatias

2024· article· pt· W4400321675 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueARQUIVOS BRASILEIROS DE CARDIOLOGIA - IMAGEM CARDIOVASCULAR · 2024
Typearticle
Languagept
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineGynecologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O ecocardiograma é uma ferramenta de imagem disponível e imprescindível para avaliação das doenças da aorta torácica. O exame tem papel importante na identificação e diagnóstico, além do acompanhamento em casos crônicos. A disponibilidade, a portabilidade, o custo-efetividade e a ausência de exposição à radiação ou contraste o colocam como ferramenta importante para o seguimento de pacientes com aortopatia conhecida, que usualmente requerem exames seriados para acompanhamento. Apesar de ser inferior na caracterização total e detalhada da aorta em todas as suas porções, em comparação com a angiotomografia ou angiorressonância da aorta, o exame permite avaliação funcional da valva aórtica e do aparato valvar. Nas aortopatias agudas, permite também a avaliação de complicações, além de ser exame passível de realização em pacientes hemodinamicamente instáveis. Neste artigo serão abordados aspectos teóricos e práticos da aplicabilidade do ecocardiograma no cenário das aortopatias.

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.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.549
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0070.019
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0000.004

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 head0.021
GPT teacher head0.278
Teacher spread0.256 · 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