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Record W3002503158 · doi:10.1016/j.idm.2020.01.003

IDM editorial statement on the 2019-nCoV

2020· editorial· en· W3002503158 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfectious Disease Modelling · 2020
Typeeditorial
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsYork University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakStatement (logic)GeographyVirologyMedicinePolitical scienceLawInternal medicineOutbreak

Abstract

fetched live from OpenAlex

Severe Acute Respiratory SyndromeIn December of 2019, 27 patients with viral pneumonia including 7 severe cases were reported in Wuhan, the capital city of Hubei province and one of the largest cities of China.By the morning of January 23, 2020, the infected cases have increased to 571 including 17 deaths, and spread to 25 of 31 mainland provinces and municipals and Hong Kong, Macau and Taiwan as well as to 7 other countries, including South Korea, Japan, Thailand, Singapore, Philippines, Mexico and the United States of America.A considerable progress has been achieved with respect to seventeen years ago, when the world had to face, completely unprepared, the "Severe Acute Respiratory Syndrome" (SARS) pandemics.This time, the scientists in China CDC networks identified a new strain of coronavirus and confirmed it as the pathogen of this new epidemic within a few weeks after the first case was noticed.The Chinese health authorities communicated the detail information of the epidemic with the public, the World Health Organization (WHO) and international community in a timely manner and shared the full genome sequence of the new virus with the global scientific community.Despite the significant progress being made, there are many issues remain to cope with, and substantial challenges have been posed to the significantly improved public health emergency response in China and globally.Given the fact of over 300 million people crossing mainland China's border each year and the estimated 3 billion person times travelling during the Chinese lunar new year (January 24th e 30th), how to control the epidemic becomes a major cause of concern.Nonetheless, there is more hope for the better control of this epidemic, since the virus is facing a much better prepared epidemic control forces both in China and globally.The experts of the WHO's emergency committee have not yet reached a consensus whether the spreading of the new coronavirus is a public health emergency of international concern, requiring a coordinated and integrated international response.As recognized by the same WHO, mathematical models, especially those timely, play a key role in informing evidence-based decisions by health decision-and policy-makers.The mathematical modelling community should be ready and make efforts to assist stakeholders in the decision-making processes.Efforts should be made to provide them with timely

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.

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)0.007
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0050.001
Open science0.0050.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.002

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 head0.064
GPT teacher head0.370
Teacher spread0.306 · 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