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Record W2952846816 · doi:10.1017/cjn.2019.49

An Evolving Therapy – Dural Venous Sinus Stenting for Idiopathic Intracranial Hypertension

2019· letter· en· W2952846816 on OpenAlexvenueno aff
Ritodhi Chatterjee, Fábio A. Nascimento, Pedro J. Diaz-Marchan, Stephen Chen, Karen Nunez-Wallace

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2019
Typeletter
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVenous accessContent (measure theory)Surgery

Abstract

fetched live from OpenAlex

Figure 2: Cerebral angiography (E-J).Pre-procedural cerebral angiography shows severe stenosis of the confluence of the right sigmoid and transverse sinus with a 25-mmHg pressure gradient: lateral view (E), anterior-posterior view (F), and 3D reconstruction from cone beam CT (G).Post-procedural cerebral angiography following placement of a Precise Pro RX carotid stent (8 x 40 mm) across the stenotic segment of the right sigmoid and transverse sinus shows resolution of stenosis, improved venous drainage, and resolution of gradient pressure: lateral view (H) and anterior-posterior view (I and J).

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.274
Teacher spread0.226 · 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 designCase report
Domainnot available
GenreCommentary

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

Citations1
Published2019
Admission routes1
Has abstractyes

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