Bibliographic record
Abstract
P lastic surgery has lost an especially great icon.In recent years, our lives have come to revolve around acronyms and we almost need a dictionary to read most contemporary articles.Fitting then, to ask, what does the acronym WKL stand for?The 'W' obviously stands for 'what a wonderful winner', or a 'willingness' to share his gentlemanly thoughtfulness with the myriad of past trainees.This wonderful style was unique in that he always basked in the reflection of his students' success and never aspired to personal gain.The 'K' stands for a present-day 'kool' in every respect -in the operating room, at rounds, in professional meetings or just face-to-face.There was never a tremor in his operating hands, even under the greatest stress...now that's 'kool'.'K' also stands for 'kind', which he preached to, and practiced with his four great children and all others with whom he came in contact.As the Argo's Michael 'Pinball' Clemons stated, "I'm here to support others so they can have success"... that was also Bill's 'kingly' way.The 'L' definitely stands for 'leader'.Bill was class president while at medical school, president of the
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.374 | 0.239 |
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".