Correction: GPRC5D as a novel target for the treatment of multiple myeloma: a narrative review
Bibliographic record
Abstract
Authors and Affiliations Clínica Universidad de Navarra, CCUN, University of Navarra, Pamplona, Spain Paula Rodriguez-Otero Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands Niels W. C. J. van de Donk Janssen Research & Development, Spring House, PA, USA Kodandaram Pillarisetti, Deeksha Vishwamitra, Brandi Hilder, Jaszianne Tolbert, Tara Masterson, Christoph Heuck, Colleen Kane & Raluca Verona Janssen Research & Development, La Jolla, CA, USA Ingrid Cornax Janssen Scientific Affairs, Horsham, PA, USA Kathleen Gray Janssen Research & Development, Raritan, NJ, USA Thomas Renaud University Hospital Hôtel-Dieu, Nantes, France Philippe Moreau Arnie Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada Nizar Bahlis Icahn School of Medicine at Mount Sinai, New York, NY, USA Ajai Chari Authors Paula Rodriguez-Otero View author publications You can also search for this author in PubMed Google Scholar Niels W. C. J. van de Donk View author publications You can also search for this author in PubMed Google Scholar Kodandaram Pillarisetti View author publications You can also search for this author in PubMed Google Scholar Ingrid Cornax View author publications You can also search for this author in PubMed Google Scholar Deeksha Vishwamitra View author publications You can also search for this author in PubMed Google Scholar Kathleen Gray View author publications You can also search for this author in PubMed Google Scholar Brandi Hilder View author publications You can also search for this author in PubMed Google Scholar Jaszianne Tolbert View author publications You can also search for this author in PubMed Google Scholar Thomas Renaud View author publications You can also search for this author in PubMed Google Scholar Tara Masterson View author publications You can also search for this author in PubMed Google Scholar Christoph Heuck View author publications You can also search for this author in PubMed Google Scholar Colleen Kane View author publications You can also search for this author in PubMed Google Scholar Raluca Verona View author publications You can also search for this author in PubMed Google Scholar Philippe Moreau View author publications You can also search for this author in PubMed Google Scholar Nizar Bahlis View author publications You can also search for this author in PubMed Google Scholar Ajai Chari View author publications You can also search for this author in PubMed Google Scholar Corresponding author Correspondence to Paula Rodriguez-Otero .
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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 | 0.005 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.010 |
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".