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Record W4205788720 · doi:10.3390/metabo12010078

Improving Infant Hydrocephalus Outcomes in Uganda: A Longitudinal Prospective Study Protocol for Predicting Developmental Outcomes and Identifying Patients at Risk for Early Treatment Failure after ETV/CPC

2022· article· en· W4205788720 on OpenAlexaff
Taylor A. Vadset, Ajay Rajaram, C. Hsiao, Miriah Kemigisha Katungi, Joshua Magombe, Marvin Seruwu, Brian Nsubuga Kaaya, Rutvi Vyas, Julia Tatz, Katharine Playter, Esther Nalule, Davis Natukwatsa, Moses Wabukoma, Luis E. Neri Perez, Ronald Mulondo, Jennifer Queally, Aaron Fenster, Abhaya V. Kulkarni, Steven J. Schiff, P. Ellen Grant, Edith Mbabazi Kabachelor, Benjamin C. Warf, Jason Sutin, Pei‐Yi Lin

Bibliographic record

VenueMetabolites · 2022
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsHospital for Sick ChildrenWestern University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institutes of HealthUganda National Council for Science and Technology
KeywordsMedicineHydrocephalusEndoscopic third ventriculostomyChoroid plexusCerebral blood flowVentriculostomyPediatricsIntensive care medicineSurgeryAnesthesiaInternal medicine

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.026
GPT teacher head0.303
Teacher spread0.277 · 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.

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

Citations7
Published2022
Admission routes1
Has abstractyes

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