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Record W3004621582 · doi:10.2106/jbjs.rvw.19.00049

Arthroscopic Management of Anterior Glenoid Bone Loss

2020· review· en· W3004621582 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJBJS Reviews · 2020
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of ManitobaPan Am Clinic
Fundersnot available
KeywordsMedicineAnterior shoulderSoft tissueSurgeryBankart repairArthroscopy

Abstract

fetched live from OpenAlex

Anterior glenohumeral instability is a complex problem that requires careful attention to osseous and soft-tissue lesions in order to treat it effectively. The arthroscopic soft-tissue Bankart repair is considered first-line treatment for patients with anterior glenohumeral instability. However, recent long-term outcome studies have shown surprisingly high failure rates, specifically in the setting of anterior glenoid bone loss. The definition of "critical" glenoid bone loss that cannot be overcome by a soft-tissue procedure alone continues to evolve and may in fact be lower than the previously published total of 20%. Arthroscopic reconstruction of the anterior glenoid margin can be performed with either autograft or allograft. The arthroscopic Latarjet procedure has emerged as a reliable and effective technique for autograft augmentation, while the distal aspect of the tibia appears to be a promising source of allograft.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
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)0.0010.001

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 head0.093
GPT teacher head0.421
Teacher spread0.329 · 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