Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.017 | 0.021 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.012 | 0.024 |
| Insufficient payload (model declined to judge) | 0.130 | 0.093 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".