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Record W4226249911 · doi:10.2139/ssrn.4011896

Global, Regional, and National Disease Burden Estimates of Acute Lower Respiratory Infections Due to Respiratory Syncytial Virus in Young Children in 2019: A Systematic Analysis

2022· article· en· W4226249911 on OpenAlexaff
You Li, Xin Wang, Dianna M. Blau, Mauricio T. Caballero, Daniel R. Feikin, Christopher Gill, Shabir A. Madhi, Saad B. Omer, Eric A. F. Simões, Harry Campbell, Ana Bermejo Pariente, Darmaa Bardach, Quique Bassat, Jean‐Sébastien Casalegno, Giorgi Chakhunashvili, Nigel W. Crawford, Daria Danilenko, Lien Anh Ha, Marcela Echavarría, Ángela Gentile, Aubree Gordon, Terho Heikkinen, Sue Huang, Sophie Jullien, Anand Krishnan, Eduardo Luis López, Joško Markić, Ainara Mira‐Iglesias, Hannah C. Moore, Jocelyn Moyes, Lawrence Mwananyanda, D. James Nokes, F. Noordeen, Evangeline Obodai, Nandhini Palani, Candice Romero, Vahid Salimi, Ashish Satav, Euri Seo, Zakhar Shchomak, Rosalyn Singleton, K. A. Stolyarov, Sonia Stoszek, Anne von Gottberg, Danielle Wurzel, Lay‐Myint Yoshida, Chee Fu Yung, Heather J. Zar, Harish Nair, RESCEU Investigators Group

Bibliographic record

VenueSSRN Electronic Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsRespiratory systemMedicineBurden of diseaseDisease burdenVirusDiseaseIntensive care medicineVirologyInternal medicine

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)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.015
Bibliometrics0.0070.009
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.336
Teacher spread0.320 · 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 designSystematic review
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

Citations8
Published2022
Admission routes1
Has abstractno

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