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Record W2086019932 · doi:10.1159/000028979

Ventriculoperitoneal Shunt Flow Dependency on the Number of Patent Holes in a Ventricular Catheter

2000· article· en· W2086019932 on OpenAlexaff
Howard J. Ginsberg, Alfred Sum, James M. Drake, R.S.C. Cobbold

Bibliographic record

VenuePediatric Neurosurgery · 2000
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineCatheterShunt (medical)Intracranial pressureCardiologyBiomedical engineeringInternal medicineSurgery

Abstract

fetched live from OpenAlex

Minimally invasive recanalization of obstructed ventricular catheters is a new treatment modality currently under investigation. It has been shown that blocked ventricular catheters can be at least partly reopened with ultrasonic cavitation, fiberoptic delivery of laser energy and electrocautery. It is not known, however, how many of the holes must be reopened in order to establish acceptable pressure-flow characteristics. In this study, the pressure-flow relationship of partially obstructed ventricular catheters was determined using experimental and electrical circuit/computer models. It has been demonstrated in all cases that an additional pressure of no more than 0.5 cm of water is generated when only a single 500-microm-diameter hole in the ventricular catheter permits flow. Partial recanalization of a ventricular catheter provides acceptable CSF hydrodynamics.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.240
Teacher spread0.212 · 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

Citations33
Published2000
Admission routes1
Has abstractyes

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