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Record W4402854794 · doi:10.36660/abc.20240303

Uma Constelação de Acidente Vascular Cerebral e Hipoxemia após Extração do Eletrodo do CDI: Papel do Forame Oval Patente

2024· article· pt· W4402854794 on OpenAlexaff
Ashish H. Shah, Petra Jenkins, Heiko Schneider

Bibliographic record

VenueArquivos Brasileiros de Cardiologia · 2024
Typearticle
Languagept
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineHumanities

Abstract

fetched live from OpenAlex

Uma mulher de 78 anos com cardiomiopatia isquêmica conhecida foi submetida eletivamente à extração do eletrodo do cardioversor desfibrilador implantável (CDI) e ao implante de um novo eletrodo. Duas horas após o procedimento, apresentou disfasia expressiva e hemiplegia direita, o que foi confirmado como resultado de um acidente vascular cerebral isquêmico em uma tomografia computadorizada de crânio. Além disso, a paciente desenvolveu hipoxemia em repouso com saturação de oxigênio de 87-88% em ar ambiente, que melhorou apenas parcialmente com oxigênio [...]

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.285
Teacher spread0.260 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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