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Postoperative outcomes in normotensive and hypertensive pheochromocytomas: an international study

2025· other· en· W7131899778 on OpenAlexaff
Marta Araujo-Castro, Aura Herrera, Yanbo Wang, Zhicheng Wang, Maciej Śledziński, Andrzej Hellmann, Marco Raffaelli, Francesco Pennestrì, Mark Sywak, Alexander Papachristos, Fausto Palazzo, Tae‐Yon Sung, Byung-Chang Kim, Yu-Mi Lee, Fiona Eatock, Hannah Anderson, Maurizio Iacobone, Albertas Daukša, Özer makay, Yiğit Türk, Hafize Basut Atalay, Els J M Nieveen van Dijkum, Anton F. Engelsman, Isabelle Holscher, Gabriele Materazzi, Leonardo Rossi, Chiara Becucci, Susannah Shore, Clare Fung, Alison Waghorn, Radu Mihai, Arslan Pannu, Shuichi Tatarano, David Velázquez‐Fernández, Julie A Miller, Hazel G. Serrao-Brown, Yufei Chen, Marco Stefano Demarchi, Reza Djafarrian, Helen Doran, Kelvin Wang, Michael J Stechman, Helen Perry, Johnathan Hubbard, Cristina Lamas, Philippa Mercer, Janet MacPherson, Supanut Lumbiganon, María Calatayud, Felicia A. Hanzu, Oscar Vidal, Cesar Minguez Ojeda, Theodosios Papavramidis, Pablo Rodríguez de Vera Gómez, Abdulaziz Aldrees, Tariq Altwjry, Nuria Valdés, Cristina Álvarez-Escolá, Iñigo García Sanz, Concepción Blanco Carrera, Laura Manjón-Miguélez, Paz de Miguel Novoa, Monica Recasens, Rogelio García Centeno, Cristina Robles Lázaro, Klaas Van Den Heede, Sam Van Slycke, Theodora Michalopoulou, Sebastian Aspinall, Ross Melvin, Joel Wen Liang Lau, Wei Keat Cheah, Man Hon Tang, Han Boon Oh, John Ayuk, Kevin Verhoeff, Robert P Sutcliffe, Alessandro Parente, International Pheo Study Group

Bibliographic record

VenueLithuanian University of Health Sciences · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBlood pressureMEDLINEHemodynamicsIncidence (geometry)

Abstract

fetched live from OpenAlex

Art. no. dgaf154

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.307
Teacher spread0.280 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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