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Puérpera com trombose de prótese mecânica e estenose supravalvar aórtica adquirida

2011· article· pt· W1999082289 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

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.

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)0.016
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.009
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.081
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