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Record W4408261101 · doi:10.1053/j.sodo.2025.02.009

Transforming lives: An orthodontist's journey of vision, innovation and impact

2025· review· en· W4408261101 on OpenAlexaff
Sandra Khong Tai

Bibliographic record

VenueSeminars in Orthodontics · 2025
Typereview
Languageen
FieldHealth Professions
TopicDental Education, Practice, Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer scienceOptometryMedicine

Abstract

fetched live from OpenAlex

In this article, the author shares her journey from the childhood dream to become an orthodontist to life as a young professional while raising children and establishing an orthodontic practice. As an early adopter of technology, this clinician starts learning to move teeth with aligners, and subsequently becomes a key opinion leader in aligner orthodontics and then writing a definitive text on clear aligner technique. The various seasons in one's life journey is discussed first as a daughter, a mother, then an orthodontist, educator, international speaker and author. Along the way, insights are shared that hope to inspire others on their professional and personal life journey. The author discusses the evolving role of women in orthodontics and the importance of creating opportunities for future generations of female orthodontists. The author's journey from student to pioneer in her field sets the tone for a narrative about professional innovation and personal triumph.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.139
GPT teacher head0.573
Teacher spread0.434 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractno

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