MétaCan
Menu
Back to cohort
Record W4388233313 · doi:10.1002/adfm.202370269

Low Energy Blue Pulsed Light‐Activated Injectable Materials for Restoring Thinning Corneas (Adv. Funct. Mater. 45/2023)

2023· article· en· W4388233313 on OpenAlexaff
Aidan J. MacAdam, Marcelo Muñoz, Jinane El Hage, Kevin Hu, Alex Ross, Astha Chandra, Jodi D. Edwards, Zian Shahid, Sophia Mourcos, Maxime Comtois‐Bona, Alejandro Juárez, Marc Groleau, Delali Shana Dégué, Mohamed Djallali, Marilyse Piché, Mathieu Thériault, Michel Grenier, May Griffith, Isabelle Brunette, Emilio I. Alarcón

Bibliographic record

VenueAdvanced Functional Materials · 2023
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-RosemontOttawa Public HealthUniversity of Ottawa
Fundersnot available
KeywordsMaterials scienceEconomic shortageSelf-healing hydrogelsStromal cellThinningBiomedical engineeringExtracellular matrixLow energyNanotechnologyMedicinePolymer chemistryCell biologyPathology

Abstract

fetched live from OpenAlex

Mucoadhesive Pectin Hydrogels Due to the global shortage of donor corneas, in article number 2302721, May Griffith, Isabelle Brunette, Emilio I. Alarcon, and co-workers develop transparent pulsed-photoactivated extracellular matrix-mimicking materials for intrastromal injection to restore stromal thickness in patients with corneal thinning diseases. The use of low light intensities and the ability of the material to stably rebuild and change the curvature of the corneal tissue make these materials attractive for clinical translation.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0040.001

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 head0.026
GPT teacher head0.264
Teacher spread0.239 · 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
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAdvanced Functional MaterialsSame topicCorneal Surgery and TreatmentsFrench-language works237,207