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Record W4224248164 · doi:10.1038/s41396-022-01227-6

Correction: Experimental evaluation of ecological principles to understand and modulate the outcome of bacterial strain competition in gut microbiomes

2022· erratum· en· W4224248164 on OpenAlexaff
Rafael R. Segura Muñoz, Sara Mantz, Inés Martínez, Fuyong Li, Robert Schmaltz, Nicholas A. Pudlo, Karthik Urs, Eric C. Martens, Jens Walter, Amanda E. Ramer‐Tait

Bibliographic record

VenueThe ISME Journal · 2022
Typeerratum
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyCompetition (biology)MicrobiomeEcologyOutcome (game theory)Microbial ecologyStrain (injury)Computational biologyEvolutionary biologyBioinformaticsBacteriaGenetics

Abstract

fetched live from OpenAlex

Following online publication of this article, the authors noted an error in Fig. 2a. The box above the 2-week timepoint should have shown strains YL44 & RJ2H1 and not strains BAA & 8482. The corrected figure should have appeared as shown below:

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)0.007
metaresearch head score (Gemma)0.119
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 score0.134
Threshold uncertainty score0.449

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.119
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0040.004
Open science0.0040.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.1340.065

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 head0.192
GPT teacher head0.281
Teacher spread0.089 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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