La recherche de l’excellence en orthodontie de l’adulte : entretien avec Bjørn U. Zachrisson
Bibliographic record
Abstract
Bjørn U. Zachrisson est Professeur Émérite au sein du Département d’Orthodontie de l’Université d’Oslo (Norvège). Il conserve à Oslo une pratique libérale consacrée aux traitements de l’adulte. Il a rédigé plus de 270 articles cliniques et scientifiques, publiés dans des revues internationales et dans des manuels d’orthodontie, de parodontologie, de traumatologie et de dentisterie générale. Il a représenté l’orthodontie européenne à l’occasion de multiples congrès à travers le monde. Il a présenté de nombreuses conférences magistrales et donné des cours pendant les congrès internationaux. Bjørn U. Zachrisson a reçu toutes les récompenses essentielles en orthodontie, y compris le prix Ketcham et Jaraback décerné par l’American Association of Orthodontics. Il est co-rédacteur du Journal of Clinical Orthodontics, rédacteur et auteur de «Ask an Expert» dans le World Journal of Orthodontics. Il collabore à l’Editorial Board of the Seminars in Orthodontics, à l’Angle Orthodontist, au World Journal of Orthodontics, à la Revista Dental Press de Ortodontia e Ortopedia and Revista Clinica de Ortodontia (Brésil), à l’Italian Journal of Orthodontics, ainsi qu’à l’European Journal of Esthetic Dentistry.
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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 | 0.029 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.017 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".