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Record W2806114302 · doi:10.1002/ijgo.12492

Time for global scale‐up, not randomized trials, of uterine balloon tamponade for postpartum hemorrhage

2018· article· en· W2806114302 on OpenAlexaff
Thomas F. Burke, Kusum Thapa, Poonam Shivkumar, Vincent Tarimo, Monica Oguttu, Lorraine F. Garg, Saroja Pande, Juzar Fidvi, Vidyadhar B Bangal, José Raúl Zaldívar Ochoa, Archana Amatya, Melody J. Eckardt, Apollinaire Horo, Khama Rogo, Kshama Kedar, Albert Manasyan, Pragati Khalatkar, Susana Ku, Anders Seim, Sebastián Suárez, Moytrayee Guha, Khadija Abdalla, Carlos Fuchtner, María Fernanda Escobar, Sabaratnam Arulkumaran

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2018
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsLambton College
Fundersnot available
KeywordsMedicineBalloonRandomized controlled trialObstetricsTamponadeBalloon tamponadeGynecologySurgery

Abstract

fetched live from OpenAlex

Global scale‐up of uterine balloon tamponade should be accelerated to end the scourge of unnecessary death and disability from postpartum hemorrhage.

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)0.021
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.009
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0090.001

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 head0.041
GPT teacher head0.375
Teacher spread0.334 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2018
Admission routes1
Has abstractyes

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