Bibliographic record
Abstract
Working with the AAFPThe ESFM and the American Association of Feline Practitioners (AAFP) held a very successful study day in Vancouver at the WSAVA meeting in August this year.Speakers Buillermo Couto and Stephen Dibartola covered topics of vaccines, feline lymphoma, feline haematology, disorders of potassium and sodium, and interpretation of acid base abnormalities, the proceeding of which can be found in this issue.Both societies were delighted to be liaising with each other and to find that their aims and objectives in raising the profile and quality of feline medicine in practice were extremely similar.We hope the project will be the first of many -indeed watch this space for further news of a very exciting collaboration in the near future!AAFP's winter 2002 meeting will be held in Steamboat Springs in Colorado on February 24-26 -details from the AAFP website at www.aafponline.org ESFM conferenceESFM will hold its first stand-alone weekend conference on September 6-8, 2002 just outside Stockholm in Sweden.Until now ESFM has had study days in association with major conferences such as BSAVA, WSAVA and other national or society meetings.These will still continue, but ESFM has wanted to hold its own meeting for some time and is delighted to be going to Sweden.Final details are still being worked out but for now put the date in your diary -details to follow in the March 2002 issue of JFMS.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.266 | 0.069 |
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".