MétaCan
Menu
Back to cohort
Record W2144964115 · doi:10.1109/nebc.2011.5778607

A piezoresistive based tactile sensor for use in minimally invasive surgery

2011· article· en· W2144964115 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsTactile sensorPiezoresistive effectInvasive surgeryElastomerComputer scienceBiomedical engineeringMaterials scienceArtificial intelligenceAcousticsComputer visionRobotOptoelectronicsEngineeringSurgeryMedicinePhysicsComposite material

Abstract

fetched live from OpenAlex

In the present paper, a novel tactile sensor is proposed for use in minimally invasive surgery to provide surgeons with tactile information. The sensing element of the sensor relies on a piezoresistive material. The proposed sensor measures contact force as well as the relative hardness of soft contact objects. A prototype of the sensor has been built, calibrated, and tested. Experimental test results confirm the ability of the sensor to distinguish between two different elastomeric materials. Such materials resemble two different biological tissues.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.293

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)0.0000.000

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 head0.064
GPT teacher head0.223
Teacher spread0.159 · 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

Quick stats

Citations16
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicSoft Robotics and ApplicationsFrench-language works237,207