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Record W4404114823 · doi:10.33774/miir-2024-h97vx

Manufacture of Contact Lenses

2024· preprint· en· W4404114823 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

Venuenot available
Typepreprint
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsContact lensOpticsPhysics

Abstract

fetched live from OpenAlex

Johnson & Johnson (J & J) Vision Care manufacture billions of soft contact lenses each year at their site in Limerick. One aspect of contact lens production which is time and energy intensive is the curing process, where a liquid monomer solution is converted into a soft solid in a photopolymerisation reaction. This study develops models of the photopolymerisation process during contact lens manufacture, incorporating the important physicochemical mechanisms, to facilitate process understanding and optimisation. The developed models account for light propagation, heat transport and polymerisation kinetics. The relationship between curing time and lens thickness, monomer solution properties and oxygen inhibition is probed in a series of simulations, showing the potential of the models to explore optimal processing conditions for specific lens configurations. A separate model is developed to assess the relationship between the degree of cure of the lens and its distortion under gravity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.994

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)0.0060.000

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 head0.013
GPT teacher head0.276
Teacher spread0.262 · 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