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Record W4410915601 · doi:10.2139/ssrn.5264477

Ivermectin to Reduce Malaria Transmission - Safety and Efficacy Results from the BOHEMIA Cluster Randomized Trial in Mozambique

2025· preprint· en· W4410915601 on OpenAlexaff
Carlos Chaccour, Patricia Nicolas, Samuel Martinho, Hansel Mundaca, Eldo Elobolobo, Paula Ruiz-Castillo, Amelia Houana, Júlia Montañà, Jenisse Mbanze, Aina Casellas, Antonio Macucha, Mary Mael, Arlindo Soares, Caroline Kiuru, Almudena Sanz, Saimado Imputiua, Luis Miguel Constantino, Vegovito Vegove, Gildo Cole, Urs Duthaler, Marta Ribes, Victor Mutepa, Joe Brew, Humberto Munguambe, Sara Stanulovic, Aida Xerinda, Felisbela Materrula, Nika Gorski, Caroline Wanjiku, Joanna Furnival-Adams, Laura Túnez, Leslie Sam, Lisa Collins, Kang Xia, Felix Hammann, Matthew Rudd, Cassidy Rist, Caroline Jones, Marta F. Maia, Baltazar Candrinho, Regina Rabinovich, Francisco Saúte

Bibliographic record

VenueSSRN Electronic Journal · 2025
Typepreprint
Languageen
FieldMedicine
TopicParasitic Diseases Research and Treatment
Canadian institutionsThe Quebec Population Health Research Network
Fundersnot available
KeywordsIvermectinMalariaCluster (spacecraft)Cluster randomised controlled trialTransmission (telecommunications)MedicineRandomized controlled trialVeterinary medicineComputer scienceSurgeryImmunologyTelecommunications

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.331
Teacher spread0.319 · 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
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

Citations3
Published2025
Admission routes1
Has abstractno

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