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Record W2061600368 · doi:10.1258/0022215011907505

An improved instrument mounting arm

2001· article· en· W2061600368 on OpenAlexaff
Balwant Singh Gendeh, B. A. K. Khalid, Paola Alberti

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2001
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsToronto General Hospital
FundersUniversiti Kebangsaan Malaysia
KeywordsMedicineMountOperator (biology)Medical physicsOperations managementSimulationOperating systemComputer science

Abstract

fetched live from OpenAlex

Although some form of commercial instrument mounting arm is available, a paucity of information in the literature may cause problems in selecting the most appropriate model for an ENT department wishing to trial their invention for use in the clinic or operating theatre. The instrument mounting arm described here is based on existing designs used by hobbyists and model makers for many years but the main benefit of this innovation is its multi-purpose use in the operating theatre and cost effectiveness since it is made of aluminum alloy. It is compact, stable and easily adjustable and can incorporate an endoscope holder or an operating end piece to mount various ENT instruments that offers considerable advantages to the unassisted operator.

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)0.005
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 score0.037
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0370.018

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 head0.017
GPT teacher head0.290
Teacher spread0.273 · 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
Published2001
Admission routes1
Has abstractyes

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