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Record W1968042579 · doi:10.1055/s-0031-1299664

Determining the Isometric Point of the Knee

2012· article· en· W1968042579 on OpenAlexaff
James P. Stannard, Allan Hammond, Danny Tunmire, Matthew Clayton, Chris Johnson, Cid Moura

Bibliographic record

VenueThe Journal of Knee Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineIsometric exercisePhysical medicine and rehabilitationPoint (geometry)Physical therapy

Abstract

fetched live from OpenAlex

Posteromedial and posterolateral reconstructions of the knee are frequently required in the management of knee dislocations. This study compares the accuracy of radiographic reference points to established anatomical landmarks in reproducing the isometric points of the posteromedial corner and posterolateral corner (PLC) of the knee. Posteromedial and posterolateral surgical approaches were made in 20 cadaveric knees. The posteromedial and posterolateral isometric points of each femur were determined using the anatomic landmarks and radiographic reference points in a randomized order. An Isometer was used to measure the displacement, to the nearest millimeter; knees were passed into flexion. A two-tailed t-test was used to analyze the data and statistical significance was set to p < 0.05. For the isometric point of the PLC, the radiographic method resulted in a mean displacement of 1.63 mm as the knee was passed from extension into flexion, while the anatomic method had a mean displacement of 4.84 mm (p < 0.00018). The mean displacement on the posteromedial side using the radiographic method was 2.10 mm as the knee was passed from extension into flexion, while the anatomic method resulted in 3.21 mm of displacement (p = 0.074).

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.258
Teacher spread0.230 · 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 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

Citations12
Published2012
Admission routes1
Has abstractyes

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