MétaCan
Menu
Back to cohort
Record W2324559856 · doi:10.1097/psn.0000000000000024

Customizing Compounded Topical Anesthetic Preparations

2014· article· en· W2324559856 on OpenAlexaffabout
Sahar Whelan, Souha Mourad

Bibliographic record

VenuePlastic Surgical Nursing · 2014
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPharmacyBachelorCompoundingSpecialtyPharmacistMedicineThursdayFamily medicineNursingGeographyArchaeology

Abstract

fetched live from OpenAlex

Sahar Whelan, RPh, BScPhm, MScPhm, graduated from the University of Toronto, Ontario, Canada, in 1988 with a bachelor's degree in pharmacy and in 1990 with a master's degree. She worked in the Retail and hospital sector; being the Director of Infusion Pharmacies, she specialized in compounding intravenous, nutrition, oral, dermatological, and sterile ophthalmic products. Souha Mourad, RPh, BScPhm, is a registered Pharmacist in the Province of Ontario, Canada and has more than four decades of pharmacy experience in the Middle East and Canada in areas such as hospital and retail. She specializes in the sterile and nonsterile compounding of various products for patients who require specific products not commercially available. She focuses on the customized needs of the patient. Address correspondence to Sahar Whelan, RPh, BScPhm, MScPhm, Concord Specialty Pharmacy, 2180 Steeles Avenue W, Unit 4, Concord, Ontario, Canada L4K 2Z5 (e-mail: [email protected]). The authors report no conflicts of interest. This article was written with strict ethical adherence and no funding was obtained to write the article.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.049
GPT teacher head0.374
Teacher spread0.326 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venuePlastic Surgical NursingSame topicPharmaceutical studies and practicesFrench-language works237,207