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Record W2335423181 · doi:10.1097/psn.0b013e31824975df

Keep It Real

2012· article· en· W2335423181 on OpenAlexaboutno aff
JoAnne Whynott, Tracey A. Hotta

Bibliographic record

VenuePlastic Surgical Nursing · 2012
Typearticle
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsTrainerNova scotiaSuiteManagementNursingMedicineHistoryArchaeology

Abstract

fetched live from OpenAlex

JoAnne Whynott, RN, is the Clinic Director at The Landings Surgical Centre in Halifax. JoAnne is at the leading edge of nonsurgical revitalization techniques and is one of Canada's most highly trained professionals in her field. JoAnne is also a senior technical aesthetic trainer, educating nurses and physicians on the latest injection techniques. With more than 25 years' experience as a registered nurse, she is now entering her 5th year, injecting dermal fillers and Botox on a full-time basis. Tracey Hotta, BScN, RN, CPSN, is the Nursing Manager-Aesthetic Services for Dr. Mitchell Brown in Toronto, Ontario, Canada. She is the past president and ASPSN, on the Board of Directors for CSPSN, and Editor of PSN. Address correspondence to JoAnne Whynott, RN, The Landings Surgical Centre, 1477 Lower Water Street, Suite 7A, Halifax, Nova Scotia B3J 3Z2, Canada (e-mail: [email protected]). Neither author has received any financial assistance in writing this 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)0.000
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 score0.792
Threshold uncertainty score0.839

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)0.0010.000

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 head0.034
GPT teacher head0.345
Teacher spread0.311 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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