MétaCan
Menu
Back to cohort
Record W2761363956 · doi:10.1159/000480023

Antibiofilm Treatment for Onychomycosis and Chronic Fungal Infections

2017· review· en· W2761363956 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.

Bibliographic record

VenueSkin Appendage Disorders · 2017
Typereview
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreMediprobe Research (Canada)University of Toronto
Fundersnot available
KeywordsBiofilmVirulenceAntifungalAntimicrobialMicrobiologyMedicineAntifungal drugsEffluxPhotodynamic therapyBiologyIntensive care medicineBacteriaChemistry

Abstract

fetched live from OpenAlex

Onychomycosis is a difficult-to-treat chronic fungal infection of the nail. The chronic nature of onychomycosis, with relevance to current treatment practices, could be attributed to host anergy, development of increased virulence in causal agents (multidrug resistance efflux pump), and biofilms. Biofilms must be disrupted prior to antifungal treatment suggesting the necessity of combination treatment. Once the biofilm has been disrupted, further techniques in addition to antifungal usage are suggested to ensure a positive prognosis including use of antimicrobial photodynamic therapy or low-frequency surface acoustic waves. Overall, with continued success in developing antibiofilm treatment for bacterial and yeast pathogens, therapy can be more quickly expanded to dermatophytes. With a rise in predisposing factors, it is important to preemptively address treatment for this disease with continued investigation into antibiofilm therapy including optimal treatment combinations and dosages targeted specifically at dermatophytes.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.075
GPT teacher head0.416
Teacher spread0.341 · 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