Erratum: Magnetic Resonance-Guided High Intensity Focused Ultrasound Generated Hyperthermia: A Feasible Treatment Method in a Murine Rhabdomyosarcoma Model
Bibliographic record
Abstract
An erratum was issued for: Magnetic Resonance-Guided High Intensity Focused Ultrasound Generated Hyperthermia: A Feasible Treatment Method in a Murine Rhabdomyosarcoma Model . The Authors section was updated from: Claire Wunker1,2 Karolina Piorkowska3 Ben Keunen3 Yael Babichev2 Suzanne M. Wong3,4 Maximilian Regenold5 Michael Dunne5 Julia Nomikos1,2 Maryam Siddiqui6 Samuel Pichardo6 Warren Foltz7 Adam C. Waspe3,8 Justin T. Gerstle3,9 Rebecca A. Gladdy1,2,10 1 Institute of Medical Science, University of Toronto 2 2Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital 3 The Wilfred and Joyce Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The Hospital for Sick Children 4 Institute of Biomedical Engineering, University of Toronto 5 Leslie Dan Faculty of Pharmacy, University of Toronto 6 Departments of Radiology and Clinical Neurosciences, University of Calgary 7 Department of Radiation Oncology, University of Toronto 8 Department of Medical Imaging, University of Toronto 9 Department of Pediatric Surgery, University of Toronto 10 Department of Surgery, University of Toronto to: Claire Wunker1,2 Karolina Piorkowska3 Ben Keunen3 Yael Babichev2 Suzanne M. Wong3,4 Maximilian Regenold5 Michael Dunne5 Julia Nomikos1,2 Maryam Siddiqui6 Samuel Pichardo6 Warren Foltz7 Adam C. Waspe3,8 Justin T. Gerstle3,9 James M. Drake1,3,4,10 Rebecca A. Gladdy1,2,10 1 Institute of Medical Science, University of Toronto 2 Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital 3 The Wilfred and Joyce Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The Hospital for Sick Children 4 Institute of Biomedical Engineering, University of Toronto 5 Leslie Dan Faculty of Pharmacy, University of Toronto 6 Departments of Radiology and Clinical Neurosciences, University of Calgary 7 Department of Radiation Oncology, University of Toronto 8 Department of Medical Imaging, University of Toronto 9 Department of Pediatric Surgery, University of Toronto 10 Department of Surgery, University of Toronto.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.011 |
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".