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Record W4311867012 · doi:10.1002/14651858.cd015159

Interventions for unresectable intrahepatic cholangiocarcinoma: a network meta-analysis

2022· article· en· W4311867012 on OpenAlexaff
Andrew Tran, Menelaos Konstantinidis, John T. Moon, Noura El Sehemawi, Katya Ferreira, Peiman Habibollahi, Bruno C. Odisio, Sahar Nourouzpour, Ali Bassir, Nariman Nezami

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2022
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsToronto Metropolitan UniversityUniversity of TorontoToronto General HospitalUniversité de MontréalSt. Michael's Hospital
Fundersnot available
KeywordsMedicineIntrahepatic CholangiocarcinomaMeta-analysisChemotherapyRadiologyInternal medicineOncology

Abstract

fetched live from OpenAlex

This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To establish the existence of differences in effectiveness and safety of intra‐arterial therapies (IATs) such as bland embolisation, conventional transarterial chemoembolisation (cTACE), drug‐eluting bead transarterial chemoembolisation (DEBTACE), yttrium‐90 (Y90), hepatic artery infusion (HAI), external beam radiotherapies (EBRTs), and immunotherapy versus systemic chemotherapy for unresectable intrahepatic cholangiocarcinoma through pairwise meta‐analysis and network meta‐analysis with subsequent treatment ranking.

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)0.023
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.053
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0090.026
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.255
GPT teacher head0.400
Teacher spread0.145 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2022
Admission routes1
Has abstractyes

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