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Record W4411075077 · doi:10.1038/s41591-025-03759-8

The People-First Liver Charter

2025· article· en· W4411075077 on OpenAlexafffund
Jeffrey V. Lazarus, Dana Ivancovsky‐Wajcman, Silvana Pannain, Paul Brennan, Melina I. Manolas, Peter Jepsen, Carla Treloar, Anish Arora, Philippa C. Matthews, Camila A Picchio, Trenton M. White, Jason Grebely, Juan Vaz, Hannes Hagström, Kenneth Rabin, Scott Isaacs, Michael Roden, Michael Betel, José Willemse, Luis Antonio Díaz, Alina M. Allen, Naim Alkhouri, Jörn M. Schattenberg, Dı́dac Mauricio, Mary E. Rinella, Elisa Pose, Emmanuel Tsochatzis, Michael Ninburg, Kenneth Cusi, William Alazawi, Ajay Duseja, Gema Frühbeck, Priya Jaisinghani, Fasiha Kanwal, Gamal Shiha, Shira Zelber‐Sagi, Marcela Villota‐Rivas

Bibliographic record

VenueNature Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsMcMaster University
FundersNational Institute of Allergy and Infectious DiseasesFaculty of Medicine and Health, University of SydneyAgencia Estatal de InvestigaciónSahlgrenska AkademinSchool of Medicine, Emory UniversityIpsenEuropean Association for the Study of the LiverNovo NordiskKarolinska InstitutetEisaiGeneralitat de CatalunyaUniversity College LondonNGM BiopharmaceuticalsIntercept PharmaceuticalsInventiva PharmaKowa CompanyIonis PharmaceuticalsBristol-Myers SquibbCentres de Recerca de CatalunyaFrancis Crick InstituteCity University of New YorkNational Institutes of HealthRegeneron PharmaceuticalsGöteborgs UniversitetCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónNovavaxUniversity of FloridaAmerican Diabetes AssociationEmory UniversityNational Institute for Health and Care ResearchQueen Mary University of LondonAarhus UniversitetshospitalGilead SciencesUniversity of New South WalesAlexion PharmaceuticalsMcMaster UniversityModernaPfizerAmerican Association for the Study of Liver DiseasesGenentechAstraZenecaEli Lilly and CompanyInstituto de Salud Carlos IIISiemens HealthineersUniversitat de BarcelonaAmgenAarhus UniversitetSanofiGW PharmaceuticalsUniversity of Dundee
KeywordsCharterMedicinePolitical scienceLaw

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)0.014
metaresearch head score (Gemma)0.062
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 score0.033
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.004
Scholarly communication0.0070.006
Open science0.0020.008
Research integrity0.0090.019
Insufficient payload (model declined to judge)0.0330.012

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 head0.004
GPT teacher head0.275
Teacher spread0.271 · 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

Citations15
Published2025
Admission routes2
Has abstractno

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