Bibliographic record
Abstract
Dear Editor, I have been meaning for a long time to write a brief note about my best friend whose life ended in 1972. Michael Moxon Kaye was raised in British Columbia, obtained a BSc from the University of British Columbia, and was a graduate of the Ontario Veterinary College (OVC) in the Centennial class of 1962. After graduation he teamed with classmate Jerrold Niwa from Acadia Valley, Alberta, and together they bought Green Acres Animal Hospital in Lethbridge, Alberta. Mike was in mixed practice in Lethbridge till 1968 when he accepted an appointment in radiology at The Western College of Veterinary Medicine in Saskatoon. Mike married Gerarda Nanninga and had two daughters and a son. To advance his career he enrolled as an MSc candidate in the Graduate School at The University of Guelph and learned radiology from Dr. Paul Pennock. Mike’s Thesis was published in 1971 and dedicated to his family. During this time at OVC he was the only trainee in radiology and when Paul was on vacation he was the radiologist for the College and did his thesis work at night. Mike’s thesis is a 160-page document on arthrography and covers the stifle and hip joints of the dog. It is still pertinent today. Mike noted the lack of data on arthrography in veterinary published literature. The study was based on 48 dogs that were divided into 4 groups, each of which included dogs aged 8 weeks to maturity. The groups varied in the times they were studied from 2 days, 5 days, 10 days and 20 days with 1 side serving as controls and the opposite side were injected with a contrast agent (Renogravin-60). The 2-day trial dogs were first injected with contrast material then radiographed and had their joints aspirated for 2 days. The 5-day dogs were injected with contrast material and after a 5-day interval were again examined after an aspirate and arthrography. Each of the other groups was examined after 10 days and after 20 days and reexamined. At each examination slides were made of the aspirate and a total count was carried out. There are 49 plates of arthrography and of the cellular aspirates with extensive descriptions in the thesis. There are 16 tables of cell counts that are still of current value as are the descriptions of the cellular aspirates. The thesis is of interest to anyone with an interest in joints and in the interpretation of the cellular aspirates and the arthrography.
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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 | 0.003 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.036 | 0.033 |
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".