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Fecal and Other Gastrointestinal Cultures

2023· other· en· W4406365303 on OpenAlexaff
Dylan R. Pillai, Thomas P. Griener

Bibliographic record

VenueClinMicroNow · 2023
Typeother
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsFecesMicrobiologyBiology

Abstract

fetched live from OpenAlex

Abstract Fecal cultures should not be performed for patients being treated with broad‐spectrum antimicrobial agents, because it is likely that the antimicrobial therapy is responsible for the diarrhea. Campylobacter is the most commonly identified bacterial pathogen isolated from fecal cultures. Campylobacter , Arcobacter , and Helicobacter species are Gram‐negative curved, gull‐winged, or spiral‐shaped bacilli which are motile by polar flagella and exhibit diverse growth requirements that can make them difficult to culture by routine methods. Arcobacter organisms are considered emerging enteropathogens and identified as the causative agents in outbreaks of gastroenteritis, though they can be isolated from stool of asymptomatic people and their significance as human pathogens has not been definitively established. For pediatric patients admitted with gastroenteritis and on bowel rest, it may take several days to collect a stool specimen.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.124
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.310
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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