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Record W2590993300 · doi:10.1016/j.eats.2016.09.027

Open Bankart Revisited

2017· article· en· W2590993300 on OpenAlexaff
Andrew Crapser, Kyrstin Coughlin, Larry P. Coughlin

Bibliographic record

VenueArthroscopy Techniques · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsQueen's UniversityMcGill University Health CentreSt Mary's Hospital CentreMontreal General Hospital
Fundersnot available
KeywordsMedicineBankart repairDilemmaSurgeryOpen surgeryGeneral surgeryAnterior shoulder

Abstract

fetched live from OpenAlex

The surgical treatment of anterior shoulder instability can present a dilemma. Historically, an open Bankart repair was the benchmark solution. Over the last decade as surgeons became more arthroscopically savvy, the pendulum swung and a paradigm shift occurred. However, more recent studies have challenged this trend and, subsequently, revived interest in open repair. Thus, we feel it is critical to provide a more contemporary stepwise description of a procedure that has become essentially abandoned. The goal is to provide tips and pearls to achieve optimal exposure and, ultimately, a robust repair for a notoriously challenging operation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.788
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.056
GPT teacher head0.431
Teacher spread0.375 · 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 designBench or experimental
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

Citations7
Published2017
Admission routes1
Has abstractyes

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