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Record W2910400562 · doi:10.1016/j.cgh.2018.12.039

HBV Genotype-Specific Levels of Hepatitis B Surface Antigen Improve HBV Phenotype Definition

2019· letter· en· W2910400562 on OpenAlexaff
Willem Pieter Brouwer, Qian Zhao, Bettina E. Hansen, Daryl Lau, Mandana Khalili, Norah A. Terrault, Adrian M. Di Bisceglie, Robert P. Perrillo, Michael Fried, David Wong, Jordan J. Feld, Steven H. Belle, Harry L.A. Janssen, Jianghe Niu, Asad Javaid, Bilal Nasir, Ammu Susheela, Imad Nasser, Nifasha Rusibamayila, Cara Foley, Alisha C. Stahler, Linda Stadheim, John R. Lake, Philip Lacher, Kathryn Rushing, Rosemary A. Nagy, Jacki Cerkoski, Debra DeMarco Shaw, Lisa Kessels, Michael K. Klebert, Seham Noureldin, Danie La, Lucie Liu, Diana Kaznowski, Jiayun Chen, Doinita Vladutu, Orlando Cerocchi, Debra Rowan, Sheila Bass, Barbara Lilly, Samuel W. French, Velma Peacock, Ashley Shobe, R. Davis, Romuald Kuras, Claudia Ayala, Ivy Lau, Veronika Podolskaya, Anna von Bakonyi, Nata DeVole, Barbara J. McKenna, Karen Choi, Kelly Oberhelman, Sravanthi Kaza, Abigail Bowen, Sumodh Kalathil, Leslie Huddleston, A. Sidney Barritt, Tiffany Marsh, Vikki Metheny, Danielle Cardona, Velimir A. Luketic, Paula G. Smith, Charlotte M. Hofmann, Alycia Wolfstone, Jody Mooney, Lupita Cardona-Gonzalez, Nancy Fryzek, Elenita Rivera, Nevitt Morris, Vanessa Haynes–Williams, Amy Huang, Averell H. Sherker, Rebecca Torrance, Sherry Hall, Mary E. Valiga, Keith Torrey, D.L. Levine, James W. Keith, Michael R. Betts, Luis J. Montaner, Frani Averbach, Tamara Haller, Regina M. Hardison, Stephanie Kelley, Sharon Lawlor, Hsing‐Hua Sylvia Lin, Stephen V. Liu, M. Lombardero, Andrew Pelesko, Donna Stoliker, Melissa Weiner, Ella Zadorozny

Bibliographic record

VenueClinical Gastroenterology and Hepatology · 2019
Typeletter
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsUniversity of TorontoToronto Liver CentreToronto General Hospital
FundersNational Center for Advancing Translational SciencesNational Center for Research ResourcesNational Institute on Alcohol Abuse and AlcoholismU.S. National Library of MedicineNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of Health
KeywordsMedicineHBsAgHepatitis B virusGenotypeVirologyHepatitis BImmunologyAntigenChronic hepatitisLiver diseaseAlanine aminotransferaseDiseaseVirusInternal medicineGeneBiologyGenetics

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)0.003
metaresearch head score (Gemma)0.023
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: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0130.011
Insufficient payload (model declined to judge)0.0030.002

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 head0.083
GPT teacher head0.325
Teacher spread0.242 · 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
GenreEditorial

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

Citations2
Published2019
Admission routes1
Has abstractno

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