MétaCan
Menu
Back to cohort
Record W2789826622 · doi:10.21307/ijssis-2017-669

Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula

2017· article· en· W2789826622 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

VenueInternational Journal on Smart Sensing and Intelligent Systems · 2017
Typearticle
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTorqueCannulaPenetration (warfare)Port (circuit theory)Penetration depthMaterials scienceBiomedical engineeringMechanical engineeringEngineeringSurgeryPhysicsMedicineOptics

Abstract

fetched live from OpenAlex

abstract Port creation is one of the most common complications associated in endoscopic procedures. The focus of our study was to establish a reproducible method of determining the torque profile generated during body cavity entry using a Threaded Visual Cannula (TVC). A TVC was evaluated on 32 samples of foam media. A torque profile was generated by measuring the torque required to cannulate the foam media. Penetration of the media was captured by a digital imaging system. The magnitude of torque to required cannulate the foam media was dictated by the amount of friction present between the foam and the external threads of the TVC. Furthermore, the magnitude of friction was dictated by the material properties of the individual media. A reproducible method of measuring entry torque during body cavity entry was established.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.086
GPT teacher head0.361
Teacher spread0.275 · 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