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Record W4401826293 · doi:10.1016/j.jhep.2024.07.035

Porto-sinusoidal vascular liver disorder with portal hypertension: Natural history and long-term outcome

2024· article· en· W4401826293 on OpenAlexaff
Marta Magaz, Héloïse Giudicelli, Juan G. Abraldeṣ, Oana Nicoară-Farcău, Fanny Turón, Neil Rajoriya, Ashish Goel, Karlien Raymenants, Sophie Hillaire, Luís Téllez, Laure Elkrief, Bogdan Procopeț, Lara Orts, Filipe Nery, Akash Shukla, Hélène Larrue, Helena Degroote, Victoria Aguilera, Elba Llop, Laura Turco, Federica Indulti, Stefania Gioia, Giulia Tosetti, Niccolò Bitto, Chiara Becchetti, Edilmar Alvarado, Cristina Roig, Raquel Díaz-Ruíz, Michael Praktiknjo, Anna-Lena Konicek, Pol Olivas, José Ignacio Fortea, Helena Masnou, Ángela Puente, Alba Ardèvol, C.A. Navascués, Marta Romero-Gutiérrez, Bernhard Scheiner, Georg Semmler, Mattias Mandorfer, Filipe Damião, Anna Baiges, Asunción Ojeda, Macarena Simón‐Talero, Carlos González‐Alayón, Alba Díaz, Ángeles García‐Criado, Andrea De Gottardi, Manuel Hernández‐Guerra, Joan Genescà, Nicolas Drilhon, Carlos Ferreira, Thomas Reiberger, Manuel Rodríguez, Rosa M. Morillas, Javier Crespo, Jonel Trebicka, Rafael Bañares, Càndid Villanueva, Annalisa Berzigotti, Massimo Primignani, Vincenzo La Mura, Oliviero Riggio, Filippo Schepis, Xavier Verhelst, José Luís Calleja, Christophe Bureau, Agustı́n Albillos, Frederik Nevens, Virginia Hernández–Gea, Dhiraj Tripathi, Pierre‐Emmanuel Rautou, Juan Carlos García‐Pagán

Bibliographic record

VenueJournal of Hepatology · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of Alberta
FundersInstituto de Salud Carlos IIIHorizon 2020 Framework ProgrammeCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y DigestivasAgence Nationale de la RechercheFondation ARC pour la Recherche sur le CancerMinisterio de Sanidad, Servicios Sociales e IgualdadFondation pour la Recherche MédicaleInstitut National de la Santé et de la Recherche MédicaleEuropean CommissionSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCentres de Recerca de CatalunyaMinisterio de Economía y CompetitividadGeneralitat de CatalunyaAgència de Gestió d'Ajuts Universitaris i de RecercaNational Science Foundation
KeywordsNatural historyPortal hypertensionTerm (time)MedicineOutcome (game theory)Internal medicineCardiologyPhysicsCirrhosisMathematics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: 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
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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

Citations50
Published2024
Admission routes1
Has abstractno

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