Locoregionally Advanced, BRAF V600L–Positive, Mucosal Melanoma of the Hypopharynx Treated With a Combination of <i>BRAF</i> and <i>MEK</i> Inhibitors
Bibliographic record
Abstract
Article Tools MOLECULAR TUMOR BOARD Article Tools OPTIONS & TOOLS Export Citation Track Citation Add To Favorites Rights & Permissions COMPANION ARTICLES No companion articles ARTICLE CITATION DOI: 10.1200/PO.21.00561 JCO Precision Oncology no. 6 (2022) e2100561. Published online June 16, 2022. PMID: 35709404 Locoregionally Advanced, BRAF V600L–Positive, Mucosal Melanoma of the Hypopharynx Treated With a Combination of BRAF and MEK Inhibitors Giovanni Lampasona , BSc1xGiovanni LampasonaSearch for articles by this author; Jonathan Noujaim , MD2xJonathan NoujaimSearch for articles by this author; Olga Gologan, MD3xOlga GologanSearch for articles by this author; Jeremie Berdugo, MD4xJeremie BerdugoSearch for articles by this author; and Anastasios Maniakas , MD, MSc5,6,7xAnastasios ManiakasSearch for articles by this author Show More 1Faculty of Medicine, Sherbrooke University, Sherbrooke, QC, Canada2Department of Oncology, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada3Department of Pathology, Montreal University Hospital Center, Montreal, QC, Canada4Department of Pathology, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada5Division of Otolaryngology-Head and Neck Surgery, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada6Department of Experimental Surgery, McGill University, Montreal, QC, Canada7Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX https://doi.org/10.1200/PO.21.00561 First Page Full Text PDF Figures and Tables © 2022 by American Society of Clinical OncologyAUTHOR CONTRIBUTIONSConception and design: Giovanni Lampasona, Anastasios ManiakasProvision of study materials or patients: Jonathan NoujaimCollection and assembly of data: Giovanni Lampasona, Jonathan Noujaim, Jeremie Berdugo, Anastasios ManiakasData analysis and interpretation: All authorsManuscript writing: All authorsFinal approval of manuscript: All authorsAccountable for all aspects of the work: All authorsAUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTERESTThe following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/po/author-center.Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).Jonathan NoujaimConsulting or Advisory Role: Bayer, NovartisNo other potential conflicts of interest were reported.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".