BONJOUR! BIENVENUE A QUABEC!: 56th Annual Convention of the Canadian Veterinary Medical Association July 7–10, 2004, Quebec City.
Bibliographic record
Abstract
Mark your calendar today! The CVMA has planned a superb convention in Quebec City next summer. With the best of European flair and North American amenities, Quebec City offers incomparable “joie de vivre,” history, natural beauty and style. Think gourmet restaurants, friendly bistros, historic sites, street musicians, painters and other artists, cobblestone streets, caleches, and eclectic shopping — all on the banks of the majestic St. Lawrence River. Dr. Peter Fretz, the CVMA Scientific Program Coordinator, has assembled an excellent scientific program for you. Sessions in small animal radiology, ophthalmology, dermatology, and surgery; feline medicine; an equine program; and specialty medicine will bring together expert presenters for your benefit. The 3-day practice management program is designed with your professional success in mind. For those involved in large animal practice, the 23rd World Buiatrics Congress will also be held in Quebec City from July 11 to 16, right after the CVMA Convention. Together with the exhibit hall showcasing all the products and services you need, a social program designed for maximum networking opportunities, and a few surprises, the 2004 convention promises to be a memorable one. See you there. A bientot! For further information, please contact the CVMA at 1-800-567-2862, ext. 23 or (613) 236-1162, ext. 23; fax: (613) 236-9681; e-mail: gro.vmca-amvc@titeptnomm (by Angie Herzog, Manager, Professional Development, CVMA)
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.550 | 0.225 |
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".