MétaCan
Menu
Back to cohort
Record W2369579431

Study of the Dispersion Evaluation Methods of UV-curable Inkjet Ink

2008· article· en· W2369579431 on OpenAlexaff
Guo Jing

Bibliographic record

VenuePackaging Engineering · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicColor Science and Applications
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsInkwellInkjet printingDispersion (optics)Materials scienceUltravioletPolymerPigmentAbsorption (acoustics)OpticsOptoelectronicsNanotechnologyComposite materialChemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Four kinds UV-curable inkjet inks with different pigment-polymer ratios were designed and prepared.The dispersed state of the pigment was evaluated by three methods.The results indicated that the results measured by means of laser particle size analyzer are in accord with the micrographics through the microscope.The UV-curable inkjet ink has better dispersion when the pigment-polymer ratio of the UV-curable inkjet ink is 2∶1.The results obtained by the ultraviolet-visible molecular absorption spectrometry can reflect the trend of the dispersion.However,more research is needed if the method was developed to evaluate the dispersion.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.327
Teacher spread0.291 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuePackaging EngineeringSame topicColor Science and ApplicationsFrench-language works237,207