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Record W3015340109 · doi:10.1128/mra.00168-20

Whole-Genome Draft Assemblies of Difficult-to-Classify Escherichia coli O157 and Non-O157 Isolates from Feces of Canadian Feedlot Cattle

2020· article· en· W3015340109 on OpenAlexafffundabout
Vinícius Silva Castro, Eduardo Eustáquio de Souza Figueiredo, Tim A. McAllister, Robin King, Tim Reuter, Rodrigo Ortega Polo, Carlos Adam Conte‐Júnior, Kim Stanford

Bibliographic record

VenueMicrobiology Resource Announcements · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsAgriculture Food and Rural DevelopmentAlberta Ministry of Agriculture and ForestryAgriculture and Agri-Food Canada
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorAlberta Agriculture and Forestry
KeywordsEscherichia coliFecesShiga toxinBiologyGenomeFeedlotMicrobiologyGeneticsGeneAnimal science

Abstract

fetched live from OpenAlex

Forty-eight Escherichia coli strains were chosen due to variable detection of stx or serogroup by PCR. Although all strains were initially determined to be Shiga toxin-producing Escherichia coli (STEC), their genomes revealed 11 isolates carrying stx 1a , stx 1b , stx 2a , and/or stx 2b . Assembled genome sizes varied between 4,667,418 and 5,556,121 bp, with N 50 values between 79,648 and 294,166 bp and G+C contents between 50.

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)0.000
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 score0.800
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 science0.0000.001
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 head0.016
GPT teacher head0.236
Teacher spread0.221 · 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.

Study designBench or experimental
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

Citations3
Published2020
Admission routes3
Has abstractyes

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