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Record W3158662079

Synthesis of Sunscreen Dendrimer

2018· article· en· W3158662079 on OpenAlexaff
Benny Rana, Yelizabeta Dmitriev, Ahsan Ayub

Bibliographic record

VenueURSCA Proceedings · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsMount Royal University
Fundersnot available
KeywordsSun protection factorDendrimerContext (archaeology)Sunscreening AgentsSun protectionSkin cancerChemistryDermatologyComputer scienceMedicineBiologyOrganic chemistryCancer
DOInot available

Abstract

fetched live from OpenAlex

Longevity and effectiveness of sunscreens and other UV-protectant lotions have been studied and researched for upwards of 90 years. Sunscreen lotions have been linked with prevention of a number of genetic mutations that may lead to skin cancers. The effectiveness of sunscreens is generally measured as Sun-protection Factor (SPF), which describes the minimal time that a sunscreen product can provide protection. Despite many advances in the field most sunscreens fail to deliver their claimed SPF protection. This is normally a result of human error; either in the amount applied, or the process of application. The focus of this research has been to investigate the use of second-generation dendrimers to increase the quantity of active sunscreen molecules present after application. Dendrimers, with their highly manipulatable physical and chemical properties, enable us to increase the “stickiness” of a sunscreen. This experiment focuses on finding optimal conditions to form a second-generation sunscreen dendrimer, and to test whether the sunscreen will retain its protective function in this context. *Indicates presenter

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 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 categoriesInsufficient payload (model declined to judge)
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 score0.129
Threshold uncertainty score1.000

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)0.0030.001

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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