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Record W2558145404 · doi:10.5935/2318-8219.20150028

Impact of Hormone Therapy Linked to Wells Prediction Score in the Diagnosis of Deep Vein Thrombosis in Women Submitted to Vascular Ultrasound

2015· article· en· W2558145404 on OpenAlexaff
Márcio Vinícius Lins Barros, Ana Elisa Loyola Arancibia, Ana Paula Costa, Fernando Brito Bueno, Marcela Aparecida Corrêa Martins, Maria Cláudia Magalhães, José Luiz Padilha da Silva

Bibliographic record

VenueARQUIVOS BRASILEIROS DE CARDIOLOGIA - IMAGEM CARDIOVASCULAR · 2015
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsImpact
Fundersnot available
KeywordsMedicineDeep veinThrombosisGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Introduo: A trombose venosa profunda (TVP) apresenta elevada morbimortalidade. O escore de Wells foi elaborado para melhorar a capacidade diagnstica pr-teste para TVP. O objetivo deste estudo foi ajustar o escore de Wells para pacientes brasileiras e incluir a varivel hormonioterapia (HT), comparando acurcia e poder de reclassificao do novo escore com o original de Wells. Mtodo: Estudo observacional transversal em que foi realizada regresso logstica para incluir a varivel hormonioterapia (HT) ao Escore de Wells, criando um novo escore (escore HT), que foi calibrado e ajustado para a

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.295
Teacher spread0.254 · 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 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

Citations1
Published2015
Admission routes1
Has abstractyes

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