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Record W2321096553 · doi:10.1097/psn.0000000000000066

Cryogenic Lipolysis

2014· article· en· W2321096553 on OpenAlexaff
Marybeth Gabriel, Maria Williams

Bibliographic record

VenuePlastic Surgical Nursing · 2014
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsCertificationPlastic surgeryMedicineNursingGeneral surgerySurgeryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Marybeth Gabriel, RN, BS, CPSN, is a registered nurse at Spiro Plastic Surgery, LLC, in West Orange, NJ. She assisted Spiro Plastic Surgery in becoming a “Certified-CoolSculpting Practice.” Under the guidance of Dr. Spiro, the registered nurses have performed hundreds of treatment hours on patients and staff. Maria Williams, RN, BSN, is a registered nurse at Spiro Plastic Surgery. She assisted Spiro Plastic Surgery in becoming a “Certified-CoolSculpting Practice.” Address correspondence to Maria Williams, RN, BSN, 108 Grand Street, New Milford, NJ 07646 (e-mail: [email protected]). The authors report 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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.394

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 head0.011
GPT teacher head0.260
Teacher spread0.249 · 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 designOther design
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
Published2014
Admission routes1
Has abstractyes

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