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Record W3204586006 · doi:10.1136/gutjnl-2021-325789

Uniting the global gastroenterology community to meet the challenge of climate change and non-recyclable waste

2021· article· en· W3204586006 on OpenAlexaff
Desmond Leddin, M. Bishr Omary, Andrew Veitch, Geoffrey Metz, N. Amrani, Lars Aabakken, Raja Affendi Raja Ali, Mário Reis Álvares‐da‐Silva, David Armstrong, Sedat Boyacıoğlu, Ye Chen, Reda Elwakil, Kwong–Ming Fock, Saeed Hamid, Govind Makharia, Finlay Macrae, Reza Malekzadeh, Chris J. Mulder, Alejandro Piscoya, Mai Ling Perman, Anahita Sadeghı, Roque Sáenz, Jean-Christophe Saurin, Amna Subhan Butt, Kaichun Wu, Yeong Yeh Lee

Bibliographic record

VenueGut · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsMcMaster UniversityDalhousie University
Fundersnot available
KeywordsClimate changeGlobal healthPolitical scienceGlobal warmingMedicineGreenhouse gasBusinessHealth careLawEcology

Abstract

fetched live from OpenAlex

Climate change has been described as the biggest global health threat of the 21st century1 and has significant implications for gastrointestinal (GI) health and disease,2 which is the focus of this consensus commentary provided by the World Gastroenterology Organisation (WGO) Climate Change Working Group (CCWG). The CCWG has members from 18 countries representing high-income, medium-income and low-income populations. The WGO includes gastroenterology societies from 108 countries, which represent more than 60 000 medical practitioner members. The CCWG members, who have coauthored this consensus commentary, aim to review the scientific literature on climate and GI health, to encourage education and the undertaking of actionable measures including advocacy, and to further research and collaborations within the global GI community. The CCWG’s objective is to assist GI health providers worldwide to adapt to, and mitigate, the effects of climate change on health. The CCWG has partnered with three major GI journals, which are copublishing this commentary, given the timeliness and importance of the topic.3 4 ### Climate change The earth’s climate is changing because of increasing concentrations of greenhouse gases in the atmosphere, which has already warmed by more than 1°C compared with preindustrial times. The aim of mitigation efforts is to keep the rise in global mean surface temperature (GMST) below 2°C by 2100. An increase of 2°C might not seem like a major change, but variations of similar magnitude have been associated with profound alterations of climate in the past. It is important to note that even if this somewhat arbitrary target can be met, catastrophic changes in earth ecosystems can still occur. The Intergovernmental Panel on Climate Change was established in 1988 with a mandate to assess relevant scientific literature related to climate change. It produces regular reports and updates about climate change. The Intergovernmental Panel on Climate Change projects that …

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.101
GPT teacher head0.320
Teacher spread0.218 · 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 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

Citations29
Published2021
Admission routes1
Has abstractyes

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