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Record W2789595020 · doi:10.1089/zeb.2017.1533

A Simple Method of Cataract Induction in Adult Zebrafish

2018· article· en· W2789595020 on OpenAlexaff
Heather Prior, Kerri Letwin, Amber Tuininga, Michelle Nguyen

Bibliographic record

VenueZebrafish · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsThe King's University
Fundersnot available
KeywordsZebrafishLens (geology)CataractsBiologyHydrogen peroxideCell biologyFish <Actinopterygii>In vivoBarrel (horology)OphthalmologyGeneBiochemistryMedicineGeneticsMaterials scienceFishery

Abstract

fetched live from OpenAlex

We have developed a simple method for the induction of cataracts in adult zebrafish using hydrogen peroxide. Our method uses a corneal puncture followed by intraocular injection of hydrogen peroxide into the anterior chamber. The procedure can be done rapidly, forming a highly opaque cataract almost immediately, and fish recover quickly. The optical clarity of the lens is gradually regained over time, showing the innate ability of zebrafish to regenerate healthy lens tissue. This technique provides a simple in vivo system with which to assess mutant strains or targeted disruptions to genes expressed in the lens.

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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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