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Record W2419404047

Interdisciplinary Canadian guidelines on the use of metal stents in the gastrointestinal tract for oncological indications.

2008· article· en· W2419404047 on OpenAlexaffabout
Mark O. Baerlocher, Murray Asch, Peter Dixon, Paul Kortan, Andy Myers, Calvin Law

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineExpert opinionMultidisciplinary approachInterventional radiologyGastrointestinal tractMedical physicsMalignancyEndoscopic stentingGeneral surgeryIntensive care medicineStentRadiologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide evidence-based guidelines regarding the appropriate use of gastrointestinal stents for oncologic indications. This document describes the use of gastrointestinal stents by appropriately trained physicians. METHODS: This document is based on a review of the published evidence and supplemented by consensus expert opinion. Gastrointestinal stenting has been evaluated in terms of technical success, complications, patient satisfaction, clinical outcome, and cost-benefit analysis. This document was approved by the Canadian Interventional Radiology Association; approval from the other relevant Canadian societies is pending. CONCLUSION: Gastrointestinal stenting has a valuable role in the management of gastrointestinal malignancy. The decision to use such devices should be taken after comprehensive multidisciplinary clinical, endoscopic, and radiologic evaluation.

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)0.009
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.449

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0080.007
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0050.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0090.004

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 head0.304
GPT teacher head0.349
Teacher spread0.045 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations23
Published2008
Admission routes2
Has abstractyes

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