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Record W3081459488 · doi:10.1186/s40168-020-00905-x

Correction to: Microbiome definition re-visited: old concepts and new challenges

2020· erratum· en· W3081459488 on OpenAlexaff
Gabriele Berg, Daria Rybakova, Doreen Fischer, Tomislav Cernava, Marie-Christine Champomier Vergès, Trevor C. Charles, Xiaoyulong Chen, Luca Cocolin, Kellye Eversole, Gema Herrero Corral, Μαρία Κάζου, Linda L. Kinkel, Lene Lange, Nélson Lima, Alexander Loy, James Macklin, Emmanuelle Maguin, Tim H. Mauchline, Ryan McClure, Birgit Mitter, Matthew J. Ryan, Inga Sarand, Hauke Smidt, Bettina Schelkle, Hugo Roume, George Seghal Kiran, Joseph Selvin, Rafael Soares Correa de Souza, L.S. van Overbeek, Brajesh K. Singh, Michael Wagner, Aaron M. Walsh, Angela Sessitsch, Michael Schloter

Bibliographic record

VenueMicrobiome · 2020
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsAgriculture and Agri-Food CanadaBioinformatics Solutions (Canada)University of Waterloo
Fundersnot available
KeywordsMicrobiomeMicrobial ecologyBiologyEngineering ethicsComputational biologyEpistemologyData scienceEnvironmental ethicsBioinformaticsComputer scienceGeneticsPhilosophyEngineering

Abstract

fetched live from OpenAlex

An amendment to this paper has been published and can be accessed via the original article.

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)0.005
metaresearch head score (Gemma)0.080
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: Other · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.080
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0040.003
Scholarly communication0.0050.003
Open science0.0030.003
Research integrity0.0070.015
Insufficient payload (model declined to judge)0.0480.033

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 head0.034
GPT teacher head0.283
Teacher spread0.249 · 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
GenreOther

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

Citations59
Published2020
Admission routes1
Has abstractyes

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