MétaCan
Menu
Back to cohort
Record W4221052249 · doi:10.1021/acsnano.2c00048

Treatment of Wound Infections in a Mouse Model Using Zn <sup>2+</sup> -Releasing Phage Bound to Gold Nanorods

2022· article· en· W4221052249 on OpenAlexafffund
Huan Peng, Daniele Rossetto, Sheref S. Mansy, Maria C. Jordan, Kenneth P. Roos, Irene A. Chen

Bibliographic record

VenueACS Nano · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Alberta
FundersCalifornia NanoSystems InstituteNational Center for Research ResourcesNational Institute of General Medical SciencesNatural Sciences and Engineering Research Council of CanadaDivision of ChemistryCamille and Henry Dreyfus FoundationSimons FoundationNational Institutes of HealthNational Science Foundation
KeywordsPhage therapyAntibioticsAntimicrobialMicrobiologyPseudomonas aeruginosaIn vivoPhotothermal therapyNanomaterialsBacteriophageAntibiotic resistanceBacteriaMaterials scienceChemistryBiologyNanotechnologyEscherichia coliBiotechnologyGene

Abstract

fetched live from OpenAlex

strain resistant to polymyxins, a last-line antibiotic therapy. Unlike these antibiotics, the phage-nanomaterial showed no detectable toxicity or systemic effects in mice, consistent with the short duration and localized nature of phage-nanomaterial treatment. Our results demonstrate that phage therapy controlled by inorganic nanomaterials can be a safe and effective antimicrobial strategy in vivo.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.974

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)0.0010.000

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations102
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueACS NanoSame topicBacteriophages and microbial interactionsFrench-language works237,207