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Record W4382752275 · doi:10.1016/j.jseint.2023.05.005

Author response—nonoperative treatment of lateral epicondylitis: a systematic review and meta-analysis

2023· review· en· W4382752275 on OpenAlexaff
Peter Lapner, Jonah Hébert‐Davies, J. Whitcomb Pollock, Ana Alfonso-Fernández, Jonathan Marsh, Graham J.W. King

Bibliographic record

VenueJSES International · 2023
Typereview
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsSt Joseph's Health CareWestern UniversityUniversity of ManitobaOttawa HospitalPan Am ClinicUniversity of Ottawa
Fundersnot available
KeywordsEpicondylitisMeta-analysisMedicineSystematic reviewMEDLINESurgeryInternal medicineElbowPolitical science

Abstract

fetched live from OpenAlex

We accept that lateral epicondylitis may be a degenerative condition and that inflammation may or may not be present. Although “lateral elbow tendinopathy” is acceptable, the term “lateral epicondylitis” remains in widespread use in the medical literature and in trials included in this study, and the term we chose to describe the condition for the purposes of our study.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.235
GPT teacher head0.479
Teacher spread0.244 · 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.

Study designMeta-analysis
Domainnot available
GenreReview

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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