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Record W2018413026 · doi:10.1097/jsa.0b013e3182460d1f

Meniscal Repair

2012· review· en· W2018413026 on OpenAlexaff
F. Alan Barber, Eric D. Bava

Bibliographic record

VenueSports Medicine and Arthroscopy Review · 2012
Typereview
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsMedicineNeurovascular bundleMeniscusFibrous jointSurgeryFixation (population genetics)Articular surface

Abstract

fetched live from OpenAlex

The surgical techniques and associated devices for meniscus repair have improved over time, spurred in part by the clear recognition of the benefits of meniscal preservation and in part by the introduction of ultra-high-molecular weight polyethylene containing sutures. The desires for more minimally invasive techniques that decrease the risks of neurovascular injury and articular cartilage excoriation have seen 1 device generation after another introduced and improved upon. The current generation of meniscal repair all-inside devices are easier to use, limit the presence of material on the meniscal surface, and are self-adjusting and suture based. Although the speed of meniscus fixation device development places increasingly useful devices in surgeons' hands, clinical evidence of their effectiveness lag behind.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.400
Teacher spread0.340 · 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 designOther design
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

Citations9
Published2012
Admission routes1
Has abstractyes

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