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Record W4390590409 · doi:10.1093/pm/pnad157

Comments on: Ultrasound-guided genicular nerve radiofrequency treatment: prospective randomized comparative trial of a 3-nerve protocol versus a 5-nerve protocol

2024· letter· en· W4390590409 on OpenAlexaffabout
Mauricio Forero, Laura Olejnik

Bibliographic record

VenuePain Medicine · 2024
Typeletter
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePain medicineAnesthesiologyProtocol (science)Randomized controlled trialMEDLINESurgeryAlternative medicineAnesthesiaPathology

Abstract

fetched live from OpenAlex

Journal Article Corrected proof Comments on: Ultrasound-guided genicular nerve radiofrequency treatment: prospective randomized comparative trial of a 3-nerve protocol versus a 5-nerve protocol Get access Mauricio Forero, MD, Fellow of Interventional Pain Practice (FIPP), Mauricio Forero, MD, Fellow of Interventional Pain Practice (FIPP) Department of Anesthesiology, McMaster University, Hamilton, ON L8N 3Z5, Canada Corresponding author: Department of Anesthesiology and Pain Medicine, McMaster University, 50 Charlton Avenue East, Hamilton, ON L8N 4A6, Canada. Email: Foreroc@mcmaster.ca Search for other works by this author on: Oxford Academic PubMed Google Scholar Laura J Olejnik, MD Laura J Olejnik, MD Department of Emergency Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada https://orcid.org/0009-0002-6343-5565 Search for other works by this author on: Oxford Academic PubMed Google Scholar Pain Medicine, pnad157, https://doi.org/10.1093/pm/pnad157 Published: 04 January 2024 Article history Received: 08 November 2023 Accepted: 30 November 2023 Published: 04 January 2024 Corrected and typeset: 12 January 2024

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.257
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.075
GPT teacher head0.385
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designRandomized trial
Domainnot available
GenreProtocol

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
Published2024
Admission routes2
Has abstractyes

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