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Record W2104006190 · doi:10.1002/rcs.133

Robotic telesurgery: a real‐world comparison of ground‐ and satellite‐based internet performance

2007· article· en· W2104006190 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 of Medical Robotics and Computer Assisted Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsSatelliteBandwidth (computing)Dissection (medical)Communications satelliteComputer scienceMedicineTelecommunicationsRemote sensingSurgeryGeologyPhysics

Abstract

fetched live from OpenAlex

BACKGROUND: Telesurgery was performed with ground vs. satellite networks, and differing satellite bandwidths. METHODS: The networks were compared during internal mammary artery (LIMA) dissection in pigs (n = 8). Length of LIMA dissected and surgical quality (five-point scale) were recorded. Also, satellite bandwidth was decreased (n = 7) to determine a limit for telesurgery. RESULTS: No significant differences existed in LIMA dissection during the ground (4.3 +/- 0.5 cm) and satellite phases (5.4 +/- 1.1 cm; p > 0.05) or in quality of surgery, although latency on satellite was 10 times greater (55 vs. 600 ms). With decreasing satellite bandwidth, surgery was not possible below 3 Mb/s, and quality of surgery was significantly decreased comparing 9 Mb/s (4.38 +/- 0.66/5) to 3 Mb/s (4.10 +/- 0.80/5; p < 0.05). CONCLUSIONS: Satellite communication is a viable telesurgical modality. Satellite bandwidth should be above 5 Mb/s during telesurgery if used primarily or as back-up.

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)0.002
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 score0.461
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.060
GPT teacher head0.347
Teacher spread0.287 · 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