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Record W2442678974 · doi:10.1097/psn.0000000000000089

Plastic Surgical and Nonsurgical Procedure Statistics 2014

2015· letter· en· W2442678974 on OpenAlex
Tracey A. Hotta

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePlastic Surgical Nursing · 2015
Typeletter
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsPlastic surgeryHistoryPsychologyMedicineSurgery

Abstract

fetched live from OpenAlex

Tracey A. Hotta, RN, BScN, CPSN, CANS, is the owner and president of TH Medical Aesthetics. She is the past president of the ASPSN, Editor of the Plastic Surgical Nursing journal, and on the Board of Directors of the Canadian Society of Plastic Surgical Nurses. Address correspondence to Tracey A. Hotta, RN, BScN, CPSN, American Society of Plastic Surgical Nurses, 45 Wild Cherry Lane, Thornhill, Ontario L3T-3T3, Canada (e-mail: [email protected]). The author has not received any funding in writing this article. The author reports no conflicts of interest.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
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 head0.022
GPT teacher head0.279
Teacher spread0.257 · 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