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Record W4286492465 · doi:10.1128/mra.00371-22

Whole-Genome Sequencing Analyses of Heat-Resistant Escherichia coli Isolated from Brazilian Beef

2022· article· en· W4286492465 on OpenAlex
Maxsueli Aparecida Moura Machado, Vinícius Silva Castro, Ricardo César Tavares Carvalho, Eduardo Eustáquio de Souza Figueiredo, Carlos Adam Conte‐Júnior

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

VenueMicrobiology Resource Announcements · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsUniversity of Lethbridge
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de Mato GrossoFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroMinistério da Ciência, Tecnologia e Inovação
KeywordsEscherichia coliBiologyLocus (genetics)GeneticsGeneGenomeHeat resistanceDNA sequencingHeat stressWhole genome sequencingMicrobiology

Abstract

fetched live from OpenAlex

Four Escherichia coli isolates with moderate or high heat resistance were sequenced. Through sequencing, truncated transmissible locus of stress tolerance (tLST) variants tLST1 and tLSTa were identified in the three isolates. The most identified tLST genes ( clpK and hsp ) are responsible for the homeostasis module.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.001
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 head0.026
GPT teacher head0.289
Teacher spread0.263 · 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