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Record W3203173595 · doi:10.1097/mcg.0000000000001619

Uniting the Global Gastroenterology Community to Meet the Challenge of Climate Change and Nonrecyclable Waste

2021· article· en· W3203173595 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

VenueJournal of Clinical Gastroenterology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsMcMaster UniversityDalhousie University
Fundersnot available
KeywordsMedicineMultinational corporationClimate changePublic healthEnvironmental healthEnvironmental ethicsNursingOceanographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Climate change has been described as the greatest public health threat of the 21st century. It has significant implications for digestive health. A multinational team with representation from all continents, excluding Antarctica and covering 18 countries, has formulated a commentary which outlines both the implications for digestive health and ways in which this challenge can be faced.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.042
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.173
GPT teacher head0.401
Teacher spread0.228 · 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

Citations15
Published2021
Admission routes1
Has abstractyes

Explore more

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