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Record W2102746248 · doi:10.1109/ccece.1999.804933

An instrumented rod rotator

2003· article· en· W2102746248 on OpenAlexaff
E. Lou, Kajsa Duke, Douglas L. Hill, V.J. Raso, N.G. Dudle, Marc Moreau, J Mahood, DAVE BUDNEY

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of AlbertaGlenrose Rehabilitation Hospital
Fundersnot available
KeywordsInclinometerStrain gaugeTorqueLoad cellData acquisitionRotator cuffBiomedical engineeringOrthodonticsEngineeringStructural engineeringComputer sciencePhysicsSurgeryGeologyMedicineGeodesy

Abstract

fetched live from OpenAlex

An electronically instrumented rod rotator has been developed to monitor forces and moments applied by surgeons during spinal surgery. This instrumented rod rotator consists of an inclinometer and two pairs of strain gauges with all the support circuitry. The strain gauge data and the inclinometer are sampled with a data acquisition system and the results are displayed in real time. The device has been calibrated in the laboratory and used on seven patients. The precision of the load measurement of this device is /spl plusmn/5 N in the range of 5 to 65 N. The maximum loads applied by the surgeon during those seven surgeries are from 20 to 60 N with a torque from 4 to 11 Nm.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2003
Admission routes1
Has abstractyes

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