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Puérpera com trombose de prótese mecânica e estenose supravalvar aórtica adquirida

2011· article· pt· W1999082289 on OpenAlexaff
Ricardo Ádala Benfatti, Carlos Roberto M. De Andrade Júnior, Guilherme Viotto Rodrigues da Silva, José Carlos Dorsa Vieira Pontes

Bibliographic record

VenueBrazilian Journal of Cardiovascular Surgery · 2011
Typearticle
Languagept
FieldNeuroscience
TopicWilliams Syndrome Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineStenosisThrombosisSupravalvular aortic stenosisCardiologySurgeryHemodynamics

Abstract

fetched live from OpenAlex

The blood hypercoagulability in pregnancy increases significantly the incidence of thrombosis of mechanical valves. Acquired supravalvular aortic stenosis is extremely rare. We report the case of an immediate postpartum patient with aortic mechanical prostheses and acquired supravalvular aortic stenosis who underwent emergency heart surgery, with severe hemodynamic instability, using adapted surgical technique for correction of supravalvular stenosis with satisfactory clinical and echocardiography results.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.081
GPT teacher head0.279
Teacher spread0.198 · 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 designCase report
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

Citations1
Published2011
Admission routes1
Has abstractyes

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