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Record W4414499463 · doi:10.1097/prs.0000000000012379

Financial Disclosure Appendix for “Advances in Cleft Care”

2025· article· en· W4414499463 on OpenAlexaboutno aff

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Financial AuditFinancial planAccounting managementAudit

Abstract

fetched live from OpenAlex

EDITORS’ DISCLOSURES Editor-in-Chief: Kevin C. Chung, MD Dr. Chung is the Editor-in-Chief of Plastic and Reconstructive Surgery. He receives grants from the National Institutes of Health and book royalties from Wolters Kluwer and Elsevier. Guest Editors: Larry H. Hollier, Jr, MD; Richard A. Hopper, MD, MS; and Roberto L. Flores, MD Dr. Hollier is the chair of Smile Train’s Global Medical Advisory Board, a volunteer position. Drs. Hopper and Flores are members of Smile Train’s medical advisory board; these are volunteer positions. ARTICLE-BY-ARTICLE DISCLOSURES Bridging the Gap: Challenges and Opportunities for Advancing Cleft Nursing in Sub-Saharan Africa Vamsi C. Mohan, MD; Winston R. Owens, BS; and Rona J. Breese, BA, RGN Rona J. Breese is a nurse training consultant, educator, and curriculum developer in Africa and a member of Smile Train’s Global Medical Advisory Board, a volunteer position. The remaining authors have no financial interests to declare in relation to the content of this article. Improving Speech Outcomes in Low- and Middle-Income Countries for Patients Born with Cleft Palate Catherine J. Crowley, JD, PhD, CCC-SLP Dr. Crowley is a member of Smile Train’s Global Medical Advisory Board, a volunteer position. Optimizing Perioperative Anesthesia Protocols for Global Delivery of Safe Cleft Surgery Vamsi C. Mohan, MD; Winston R. Owens, BS; and Zipporah Gathuya, MD Dr. Gathuya is a board member of the Global Initiative for Children’s Surgery and a member of Smile Train’s Global Medical Advisory Board; these are volunteer positions. The remaining authors have no financial interests to declare in relation to the content of this article. Retrospective Review of Open Tip Plasty for Bilateral Cleft Nasal Deformity before Adolescent Growth: A Single Surgeon’s Experience of 25 Consecutive Cases Vamsi C. Mohan, MD; Winston R. Owens, BS; and Richard A. Hopper, MD, MS Dr. Hopper is a member of Smile Train’s Global Medical Advisory Board, a volunteer position. The remaining authors have no financial interests to declare in relation to the content of this article. Advances in the Prevention of Dental Caries in Orofacial Clefts Peter A. Mossey, BDS, PhD; Winston R. Owens, BS; Vamsi C. Mohan, MD; Elizabeth A. Shick, DDS, MPH; and Mónica Dominguez, DDS Dr. Mossey is a member of Smile Train’s Global Medical Advisory Board, a volunteer position. Dr. Dominguez is the director of global oral health programs for Smile Train. Dr. Shick is a volunteer consultant for Smile Train. The remaining authors have no financial interests to declare in relation to the content of this article. The Use of Technology in Improving Multidisciplinary Care in Low-Resource Settings Vamsi C. Mohan, MD; Winston R. Owens, BS; Pierce C. Hollier, BS; Solomon Obiri-Yeboah, MD, DDS; and Peter Donkor, MDSc Dr. Donkor is the president of the Ghana Cleft Foundation and a member of Smile Train’s Global Medical Advisory Board; these are volunteer positions. The remaining authors have no financial interests in any of the products, devices, or drugs mentioned in this article. Simulation in Cleft Care: Evolution, Evidence, and Training the Future Surgeon Allison L. Diaz, BS; Rami Kantar, MD, MPH, PhD; Dale J. Podolsky, MD, PhD; and Roberto L. Flores, MD Dr. Podolsky is a shareholder of Simulare Medical (Toronto, Ontario, Canada). No financial support was received from Simulare Medical for the preparation of this article. Dr. Flores is a member of Smile Train’s Global Medical Advisory Board, a volunteer position. The remaining authors have no financial interests to declare in relation to the content of this article. Cleft Presurgical Infant Orthopedics: Evolution from Analog to Digital Appliances—Will It Increase Accessibility? Winston R. Owens, BS; Vamsi C. Mohan, MD; Krishnamurthy Bonanthaya, MBBS; and Alvaro A. Figueroa, DDS, MS Drs. Figueroa and Bonanthaya are members of Smile Train’s Global Medical Advisory Board; these are volunteer positions. The remaining authors have no financial interests to declare in relation to the content of this article.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.655
Threshold uncertainty score0.492

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.052
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.6550.237

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.

Opus teacher head0.036
GPT teacher head0.376
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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