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Record W2759021200 · doi:10.1016/j.arthro.2017.08.139

Paper #175: Anterior Cruciate Ligament Reconstruction With or Without a Lateral Extra‐Articular Tenodesis – Assessment of Failure at One Year from the ISAKOS Sponsored Stability Study

2017· article· en· W2759021200 on OpenAlexaff
Alan Getgood, Robert Litchfield, Christopher Hewison, Dianne Margaret Bryant, Robert G. McCormack, Mark Heard, Peter B. MacDonald, Tim Spalding, Peter Verdonk, Devin Peterson, Davide Bardana, Alex Rezansoff

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsFowler Kennedy Sport Medicine Clinic
Fundersnot available
KeywordsMedicineAnterior cruciate ligament reconstructionAnterior cruciate ligamentSurgeryPresentation (obstetrics)Randomized controlled trialAnterolateral ligamentOrthodontics

Abstract

fetched live from OpenAlex

This multicenter randomized clinical trial has compared rotational stability following ACL reconstruction with or without lateral extra-articular tenodesis with the aim of reducing risk of graft failure and persistent anterolateral rotatory laxity. One year primary and secondary outcome data will be available for presentation from this ISAKOS sponsored study at in June 2017.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.020
GPT teacher head0.288
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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