Bibliographic record
Abstract
One word frees us of all the weight and pain of life. That word is love. " -SophoclesIt is with tremendous sadness we announce the passing of Dr. Jun Kawakami, our respected colleague and friend.Jun passed away on August 30, 2021, after a valiant battle against pancreatic cancer.He left this earthly world at home, in the embrace of his loving wife Julie and his two sons, Summit (15) and Merrit (13).He died the way he wanted, surrounded by his family and friends that he cherished so much.Jun completed medical school in 1998 at Queen's University.He remained at Queen's, where he completed his urology residency.Early in residency, it was evident that Jun was a naturally gifted surgeon, and it was no surprise that he pursued a fellowship in uro-oncology.Jun met Julie, the love of his life, in Kingston.Although Jun was well-known for his surgical and clinical acumen, his greatest passion was his family.After residency, Jun and Julie moved to San
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.116 | 0.039 |
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".