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Record W3089640779 · doi:10.1126/scitranslmed.aba0565

<i>Paenibacillus</i> infection with frequent viral coinfection contributes to postinfectious hydrocephalus in Ugandan infants

2020· article· en· W3089640779 on OpenAlexaff
Joseph N. Paulson, Brent L. Williams, Christine Hehnly, Nischay Mishra, Shamim A. Sinnar, Lijun Zhang, Paddy Ssentongo, Edith Mbabazi-Kabachelor, Dona Saumya S. Wijetunge, Benjamin von Bredow, Ronnie Mulondo, Julius Kiwanuka, Francis Bajunirwe, Joel Bazira, Lisa M. Bebell, Kathy Burgoine, Mara Couto-Rodriguez, Jessica E. Ericson, Tim Erickson, Matthew J. Ferrari, Melissa Gladstone, Cheng Guo, Murali Haran, Mady Hornig, Albert M. Isaacs, Brian Nsubuga Kaaya, Sheila M. Kangere, Abhaya V. Kulkarni, Elias Kumbakumba, Xiaoxiao Li, David D. Limbrick, Joshua Magombe, Sarah U. Morton, John Mugamba, James Ng, Peter Olupot‐Olupot, Justin Onen, Mallory Peterson, Farrah Roy, Kathryn Sheldon, Reid Townsend, Andrew Weeks, Andrew J. Whalen, John Quackenbush, Peter Ssenyonga, Michael Y. Galperin, Mathieu Almeida, Hannah Atkins, Benjamin C. Warf, W. Ian Lipkin, James R. Broach, Steven J. Schiff

Bibliographic record

VenueScience Translational Medicine · 2020
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsHospital for Sick Children
FundersNational Center for Advancing Translational SciencesNational Institute of Allergy and Infectious DiseasesNIH Office of the DirectorNational Institutes of HealthNational Cancer InstituteMedical Research CouncilEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAgence Nationale de la Recherche
KeywordsCoinfectionHydrocephalusMedicineVirologyMicrobiologyBiologyVirusSurgery

Abstract

fetched live from OpenAlex

in CSF samples from PIH cases, and point toward a pathway of more optimal treatment and prevention for PIH and other proximate neonatal infections.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.276
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations55
Published2020
Admission routes1
Has abstractyes

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