Introducing a New Editorial Board Member from Italy: Olindo Massarelli, MD, PhD, FEBOMFS
Bibliographic record
Abstract
A leader is one who knows the way, goes the way, and shows the way. —John C. Maxwell American author, speaker, and pastor What a happy and honored month in a life of the Journal of Diagnostics and Treatment of Oral and Maxillofacial Pathology! What’s a reason? In February 2020 a true leader, Olindo Massarelli (Fig 1), MD, PhD, FEBOMFS, joined the Editorial Board`s family. His famous name, surgical skills, and a kind scientific support has started permanently to make us stronger, wiser, and even more specialized in the field of head neck reconstructive surgery. His recent publication focused on IGTV chimeric flap case and reconstruction of Cordeiro type IIIA total maxillectomy defect1 inspired us for new goals and gave us a new vision of things. One of which is to expand the journal`s share of articles in the direction of microvascular operations. Dr. Oleksii O. Tymofieiev: After Dr. Massarelli`s kind support of our humble ideas, the number of EB members, who deeply involved into moving the jaw reconstructive surgery`s science, increased to 5 opinion leaders: Drs. Rui P. Fernandes (USA), Oleh M. Antonyshyn (Canada), Todd C. Hanna (USA), Anthony M. Bunnell (USA), and Olindo Massarelli (Italy). Dr. Ievgen I. Fesenko: Thanks to Dr. Hanna, our journal`s connection and collaboration with Dr. Massarelli became possible and made a huge contribution to the journal`s evolution. Every last decade`s masterpiece by Dr. Massarelli (Fig 2) and his Italian colleagues2-8 is more than impressive and makes a tremendous impact on different specialties, especially oral and maxillofacial, head neck surgeries. For me personally, a study dedicated to a chimeric lateral supramalleolar artery perforator fibula free flap9 became a most readied/analyzed article in my Apple Books application (Apple Inc., Cupertino, CA, USA). Dr. Evangelos G. Kilipiris: As our journal continues to grow steadily, is a privilege for our expanding team and for me personally to announce a new Editorial Board Member, Dr. Massarelli, a pioneer in microvascular surgery. A warm welcome. I think we will grow together and also we will raise important results. –Dr. Olindo Massarelli (personal communication, February 13, 2020) Editorial Board Member, DTJournal.org The future of microvascular surgery is bright and clear.10 –Dr. Vijay Kumar King George Medical University, India
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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 | 0.007 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.046 | 0.034 |
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".