Adefovir dipivoxil alone or in combination with lamivudine in patients with lamivudine-resistant chronic hepatitis B 1 1The Adefovir Dipivoxil International 461 Study Group includes the following: N. Afdhal (Beth Israel Deaconess Medical Center, Boston, MA); P. Angus (Austin and Repatriation Medical Centre, Melbourne, Australia); Y. Benhamou (Hopital La Pitie Salpetriere, Paris, France); M. Bourliere (Hopital Saint Joseph, Marseille, France); P. Buggisch (Universitaetsklinikum Eppendorf, Department of Medicine, Hamburg, Germany); P. Couzigou (Hopital Haut Leveque, Pessac, France); P. Ducrotte and G. Riachi (Hopital Charles Nicolle, Rouen, France); E. Jenny Heathcote (Toronto Western Hospital, Toronto, Ontario, Canada); H. W. Hann (Jefferson Medical College, Philadelphia, PA); I. Jacobson (New York Presbyterian Hospital, New York, NY); K. Kowdley (University of Washington Hepatology Center, Seattle, WA); P. Marcellin (Hopital Beaujon, Clichy, France); P. Martin (Cedars-Sinai Medical Center, Los Angeles, CA); J. M. Metreau (Centre Hospitalier Universitaire Henri Mondor, Creteil, France); M. G. Peters (University of California, San Francisco, San Francisco, CA); R. Rubin (Piedmont Hospital, Atlanta, GA); S. Sacks (Viridae Clinical Sciences, Inc., Vancouver, Canada); H. Thomas (St. Mary’s Hospital, London, England); C. Trepo (Hopital Hôtel Dieu, Lyon, France); D. Vetter (Hopital Civil, Strasbourg, France); C. L. Brosgart, R. Ebrahimi, J. Fry, C. Gibbs, K. Kleber, J. Rooney, M. Sullivan, P. Vig, C. Westland, M. Wulfsohn, and S. Xiong (Gilead Sciences, Inc., Foster City, CA); D. F. Gray (GlaxoSmithKline, Greenford, Middlesex, England); R. Schilling and V. Ferry (Parexel International, Waltham, MA); and D. Hunt (Covance Laboratories, Princeton, NJ).
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".