MétaCan
Menu
Back to cohort
Record W2900974484

HydroClean® plus: A new perspective to wound cleansing and debridement

2016· article· en· W2900974484 on OpenAlexaff
Karen Ousey, Mark G Rippon

Bibliographic record

VenueHuddersfield Research Portal (University of Huddersfield) · 2016
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsDebridement (dental)Perspective (graphical)MedicineSurgeryComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

A number of clinical studies and case reports have shown that HydroClean plus effectively cleanses wounds of necrotic tissue, fibrinous slough and bacteria-laden wound exudates. Due to the innovative technology inherent in the polyacrylate superabsorbent material at the core of these dressings, the wound is actively cleansed by the rinsing and absorbing effect of this pad core. Optimisation of the moist wound environment and promotion of autolytic debridement supports the formation of new granulation tissue and leads to progression of wound healing response. This product focus explores the evidence supporting HydroClean plus and hydro-responsive wound dressings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.003
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.098
GPT teacher head0.368
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations9
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueHuddersfield Research Portal (University of Huddersfield)Same topicWound Healing and TreatmentsFrench-language works237,207