Advanced Biomedical Ultrasound Imaging and Therapy Laboratory
Bibliographic record
Abstract
Laboratoire avancée de l'imagerie et de thérapie biomédicale à ultrasons (ABUITL) est un laboratoire de recherche 1600 pieds carrés affilié conjointement à l'Université Ryerson et l'Hôpital St. Michael.Il est l'un des principaux laboratoires de recherche dans le domaine d'ultrasons biomédicale au Canada.Le laboratoire a été créé en 2007 dans le Département de physique de l'Université Ryerson et a été transféré à iBEST (institut de génie biomédical, sciences et technologie) dans l'Hôpital St. Michael en Septembre 2015.Le laboratoire accueille un éventail d'équipements de recherche d'ultrasons biomédicale dans les domaines diagnostic et thérapeutique, et a été actif dans la conduite de projets et la formation de personnel hautement qualifié (PHQ).Champ d'application des projets de recherche dans le laboratoire étend de la compréhension de la science fondamentale et l'investigation des mécanismes biophysiques à de nouvelles applications cliniques dans tous les principaux domaines d'ultrasons biomédicale.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.029 |
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".