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Record W4389879180 · doi:10.12688/gatesopenres.14710.2

Protocol and statistical analysis plan for a randomized controlled trial of the effect of intravenous iron on anemia in Malawian pregnant women in their third trimester (REVAMP – TT)

2023· preprint· en· W4389879180 on OpenAlexaff
Rebecca Harding, Ernest Moya, Ricardo Ataíde, Truwah Zinenani, Glory Mzembe, Gomezgani Mhango, Ayşe V. Demir, William Stones, Louise M. Randall, Marc L. Seal, Katherine A. Johnson, Stefan Bode, Martin N. Mwangi, Sant‐Rayn Pasricha, Sabine Braat, Kamija S. Phiri

Bibliographic record

VenueGates Open Research · 2023
Typepreprint
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsNutrition International
FundersBill and Melinda Gates Foundation
KeywordsMedicineAnemiaRandomized controlled trialPregnancyPediatricsObstetricsLow birth weightMalariaIron deficiencySurgeryInternal medicineImmunology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.055
metaresearch head score (Gemma)0.108
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.276
Threshold uncertainty score0.922

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.108
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0110.007
Bibliometrics0.0050.006
Science and technology studies0.0030.004
Scholarly communication0.0060.003
Open science0.0040.002
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.2760.032

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 head0.055
GPT teacher head0.412
Teacher spread0.357 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations8
Published2023
Admission routes1
Has abstractyes

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