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Record W2098165756 · doi:10.1136/bcr.11.2008.1258

Bilateral atraumatic medial meniscal tears in a 17-year-old rower: Figure 1

2009· article· en· W2098165756 on OpenAlexaff
T. L. Taylor, Renata J. Frankovich, Jane S Rumball

Bibliographic record

VenueBMJ Case Reports · 2009
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsFowler Kennedy Sport Medicine ClinicWestern UniversityCarleton University
Fundersnot available
KeywordsRowingMedicineTearsAthletesPhysical therapySports injuryPopulationPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

Meniscal injury produces disability in a large portion of the population, and sports injuries are a common cause. Atraumatic meniscal tears may occur after repetitive low-energy loading. Rowing is a highly technical sport and very demanding on an athlete's body. There are numerous reports on patellofemoral and iliotibial band friction syndrome in rowers but there is an extremely low incidence of meniscal tears reported in these athletes. This is a unique case report of a young adolescent athlete who suffered bilateral medical meniscal tears during sporting activity. Rowing is a low impact sport making this an unusual occurrence, especially in a young individual. This case report highlights the importance of considering all training activities when trying to isolate the mechanism of injury in an athlete.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.802

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 head0.014
GPT teacher head0.312
Teacher spread0.298 · 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 designCase report
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

Citations4
Published2009
Admission routes1
Has abstractyes

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