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Record W4324130371 · doi:10.1097/ta.0000000000003967

Letter to the Editor, a reply: Intravenous lidocaine for the management of traumatic rib fractures: A double-blind randomized controlled trial (INITIATE program of research)

2023· letter· en· W4324130371 on OpenAlexaff
Petrease H Patton, Kelly Vogt, Fran Priestap, Neil Parry, Ian Ball

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2023
Typeletter
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsLidocaineDouble blindRandomized controlled trialMedicineAnesthesiaLetter to the editorSurgeryAlternative medicineLawPolitical science

Abstract

fetched live from OpenAlex

In Brief The letter is a response to discussion questions posed about Intravenous Lidocaine for the Management of Traumatic Rib Fractures: A Double-Blind Randomized Controlled Trial.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.817
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.072
GPT teacher head0.414
Teacher spread0.342 · 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 designRandomized trial
Domainnot available
GenreCommentary

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
Published2023
Admission routes1
Has abstractyes

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