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Record W3036151104 · doi:10.21037/atm-2020-24

Erratum to rapid advice guidelines for management of children with COVID-19

2020· erratum· en· W3036151104 on OpenAlexaff
Enmei Liu, Rosalind L. Smyth, Zhengxiu Luo, Amir Qaseem, Joseph L. Mathew, Quan Lu, Zhou Fu, Xiao-dong Zhao, Shunying Zhao, Janne Estill, Edwin Chan, Lei Liu, Yuan Qian, Hongmei Xu, Qi Wang, Toshio Fukuoka, Xiaoping Luo, Gary Wong, Junqiang Lei, Detty Siti Nurdiati, Wenwei Tu, Xiaobo Zhang, Xianlan Zheng, Hyeong Sik Ahn, Mengshu Wang, Xiaoyan Dong, Liqun Wu, Myeong Soo Lee, Guobao Li, Shu Yang, Xixi Feng, Ruiqiu Zhao, Xiaoxia Lü, Zhihui He, Shihui Liu, Weiguo Li, Qi Zhou, Ren Luo, Yaolong Chen, Qiu Li

Bibliographic record

VenueAnnals of Translational Medicine · 2020
Typeerratum
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsImpactMcMaster University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Advice (programming)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Medicine2019-20 coronavirus outbreakVirologyComputer sciencePathology

Abstract

fetched live from OpenAlex

[This corrects the article DOI: 10.21037/atm-20-3754.].

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 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)0.003
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.074
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0740.050

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 head0.185
GPT teacher head0.419
Teacher spread0.234 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2020
Admission routes1
Has abstractyes

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