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Record W2158195331 · doi:10.1002/bies.201400128

Forces shaping the antibiotic resistome

2014· review· en· W2158195331 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBioEssays · 2014
Typereview
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsResistomeHorizontal gene transferMetagenomicsAntibiotic resistanceBiologyMicrobiomeAntibioticsStewardship (theology)Resistance (ecology)GeneticsMechanism (biology)GeneComputational biologyMicrobiologyEcologyGenomePolitical scienceIntegron

Abstract

fetched live from OpenAlex

Antibiotic resistance has become a problem of global scale. Resistance arises through mutation or through the acquisition of resistance gene(s) from other bacteria in a process called horizontal gene transfer (HGT). While HGT is recognized as an important factor in the dissemination of resistance genes in clinical pathogens, its role in the environment has been called into question by a recent study published in Nature. The authors found little evidence of HGT in soil using a culture-independent functional metagenomics approach, which is in contrast to previous work from the same lab showing HGT between the environment and human microbiome. While surprising at face value, these results may be explained by the lack of selective pressure in the environment studied. Importantly, this work suggests the need for careful monitoring of environmental antibiotic pollution and stringent antibiotic stewardship in the fight against resistance.

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 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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.008

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 head0.093
GPT teacher head0.353
Teacher spread0.260 · 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